Jobs
Every open software job across the Chicago metro — Cook County, the Illinois collar counties, Northwest Indiana, and Kenosha County, Wisconsin — pulled straight from each employer’s own careers feed and laid out plainly, with no aggregator noise in between. I keep it local and primary-sourced so wherever you are in the search, the next step is a little easier.
1005 active postings · 206 AI required · 399 AI mentioned · 400 no AI mention.
Summary
A senior software quality engineering role developing, executing and automating test plans for large, complex pre-release software, upgrades and current versions, including building the test infrastructure, tools and coverage behind each release. The work involves writing complex code and test protocols, cross-feature testing, reviewing product requirements, and collaborating with developers on functionality, quality, performance, scalability, privacy and security, plus subject matter expertise and training for less experienced team members. It may also include performance testing and live site support and incident resolution with an on-call rotation.
Summary
A senior enterprise-architecture leadership role at Walgreens governing target-state architecture across corporate and back-office systems, spanning packaged and commercially available platforms, cloud services, system integrations, data flows, and vendor ecosystems. This is an architecture-governance and standards role for the corporate technology landscape rather than a software-building role, and work visa sponsorship is not available.
Summary
Although titled a mobile systems engineer, the job description is an infrastructure and systems-administration role: deploying, operating, scaling, tuning, and troubleshooting server systems and web/app infrastructure, plus building tools and scripts and doing capacity planning. The qualifications center on technology infrastructure, systems, and database administration rather than iOS/Android application development.
Summary
Entry-level full-stack software engineering role supporting Walgreens' Digital/Online platform, primarily backend development in Java and Spring Boot with some React front-end work, on capabilities for catalog, product and store pricing, shopping, and checkout. Work involves short-term assignments on small-to-medium systems with independent judgment within defined procedures. Hybrid in Deerfield, Illinois at four days onsite, and the posting states work-visa sponsorship is not available.
Summary
A senior software-engineering role on Walgreens' Digital/Online application, handling strategic and complex undertakings that require independent judgment and creativity, with mentoring and occasional project leadership. Hybrid in Deerfield (four days onsite); work-visa sponsorship is not available. For a senior engineer in consumer digital commerce.
Summary
A director-level leadership role over the Software Development Engineer in Test function at Walgreens Digital, building automated testing frameworks across UI, API, integration, performance, and security as production-quality code and embedding quality gates into CI/CD. It is a hands-on engineering-leadership role focused on testability, reliability, and developer productivity and requires a strong backend/platform software engineering foundation.
AI-keyword evidence: ai-assisted
Summary
A solutions-architecture role defining systems and software architecture for consistency across Walgreens' Technology organization, with an Oracle and SQL emphasis and a focus on integrating multiple platforms. Complex, multi-component work that regularly requires independent judgment. For a solutions architect with strong Oracle/SQL and integration depth.
Summary
A hands-on principal-engineer role driving engineering excellence, modern architecture and AI-assisted development across Walgreens' software lifecycle — including writing code, reviewing designs, and debugging production issues by analyzing thread and memory dumps on mission-critical platforms. Hybrid, four days per week in Deerfield, IL. For a deeply technical principal engineer who still works in the code.
AI-keyword evidence: ai-assisted
Summary
A platform-engineering role building internal developer-platform services, APIs and automation — CI/CD in Azure DevOps, Infrastructure as Code (Terraform, Bicep) and containerized workloads on Kubernetes (AKS preferred). Centered on developer productivity, self-service and observability. For a platform/DevOps engineer with strong cloud-automation skills.
Summary
A senior enterprise-architecture role at U.S. Bank defining and governing the AI and ML platform architecture — reference architectures, standards, and guardrails for model integration, inference, retrieval, orchestration, and responsible-AI controls across a hybrid multi-cloud estate spanning Azure, AWS, and on-premises. It is a strategy-and-standards leadership role driving architecture convergence across engineering, data, security, and product. Charlotte is among the listed locations.
AI-keyword evidence: ai , genai
Summary
A senior AI platform engineering role at U.S. Bank owning production-ready GenAI systems. It focuses on LLM applications, RAG, agentic workflows, GenAIOps, cloud deployment on Azure and AWS, container orchestration, infrastructure as code, and secure scaling.
AI-keyword evidence: vector database
Summary
Serves as technical lead and platform owner for a security data lake supporting Application Security, Vulnerability Management and related cybersecurity functions, defining architecture, engineering standards and governance for data on Microsoft Fabric and Azure. Builds secure, governed ingestion, transformation and enrichment pipelines meeting HIPAA, NIST and SOC 2 requirements, and works a hybrid schedule of one to two days per week in office.
Summary
A lead software-engineering role that is really a Microsoft Dynamics and Power Platform specialist, designing distributed systems built on Dynamics CE, Power Apps, and Project Operations to support BDO's tax practice. Requires deep Dynamics CE/Project Operations customization and integration experience plus a STEM, Finance, or Accounting degree; the domain is tax product delivery, not general web development.
Summary
Generative AI/ML engineer role on U.S. Bank's Intelligent Document Processing team, designing and supporting document extraction, classification and workflow-automation solutions built on Tungsten/Kofax, C#/.NET, SQL and Azure AI/ML services. The role requires working from a U.S. Bank location at least three days per week.
AI-keyword evidence: ai , machine learning, generative ai
Summary
A management role leading a team of three to five developers inside Uline's in-house technology organization, providing technical guidance for scalable, resilient applications and partnering with cross-functional agile teams to align architecture and design with business goals. The background sought is people management plus hands-on application project experience in languages such as Java, Angular or JavaScript, along with full project lifecycle ownership. All Uline positions are on site, and the company does not participate in the H-1B lottery.
Summary
Backend engineering on an advertising technology team, building and operating real-time ad delivery systems that handle ranking, auctions, bidding, pacing and budget enforcement on the critical path of ad serving. The work brings machine-learning signals into high-throughput, low-latency services and involves close collaboration with product, ML and data science teams on relevance, targeting and performance modeling, plus mentoring junior engineers. It asks for five or more years of backend development, a computer science degree or similar, experience with data-driven or A/B experimentation systems, and proficiency in a language such as Java or Kotlin.
AI-keyword evidence: vector database
Summary
Leads delivery of audit-support software features on Crowe's Microsoft stack (.NET, ASP.NET, SQL Server, React, Angular), managing Agile teams and incorporating AI-assisted coding tools such as GitHub Copilot and Claude Code. Combines hands-on software architecture and code review with product ownership, sprint planning and stakeholder management.
AI-keyword evidence: github copilot, claude code
Summary
Leads Salesforce implementation engagements as a client-facing solution architect, translating business requirements into technical designs and leading cross-functional delivery teams. Combines solution architecture with project delivery, end-user training and client relationship management on consulting engagements, rather than a quota-driven vendor pre-sales role.
Summary
Leads solution architecture and implementation of Microsoft Dynamics 365 ERP Operations deployments, covering supply chain, inventory, warehouse management, procurement and production planning for client organizations. Responsibilities span data migration, ERP security architecture, Azure integration services, and CRM/manufacturing systems integration alongside client engagement and mentoring.
Summary
Builds advanced AI and generative AI systems, including RAG pipelines and vector-database-backed applications, on cloud-native and distributed infrastructure. Works with Python, PyTorch, LangChain and Kubernetes alongside cloud ML platforms (Azure ML, SageMaker, Vertex AI) to design scalable production AI solutions with architects and stakeholders.
AI-keyword evidence: ai engineer, vector database
Summary
Designs and delivers enterprise Microsoft Dynamics 365 Business Applications solutions spanning Finance and Operations, Customer Engagement, and the Power Platform, while leading technical teams on client engagements. Work includes Dataverse, X++, Azure Functions, Logic Apps and API Management, plus Copilot Studio and generative AI orchestration, with responsibility for security configuration and data governance.
AI-keyword evidence: ai , copilot, generative ai
Summary
Early careers software engineering role within a global two-year development program that begins with an induction into the firm's businesses, engineering standards and development methodologies, then moves into designing, developing, testing and troubleshooting software solutions. Responsibilities include applying automation and modern tooling across the software development life cycle and using approved AI development tools for code generation, refactoring, test creation and documentation with peer review, automated testing and secure coding validation. Candidates must be pursuing a bachelor's or fifth-year master's degree with expected graduation between July 2026 and June 2027 and be available to start full time in July 2027; classes are filled on a rolling basis.
AI-keyword evidence: ai , artificial intelligence, ai-assisted
Summary
Early careers software engineering role within a global two-year development program, designing, developing, testing and troubleshooting software solutions and applying automation and modern tooling across the software development life cycle. A stated part of the work is using approved AI development tools for code generation, refactoring, test creation and documentation, then validating those outputs through peer review, automated testing and secure coding practices. Candidates must be pursuing a bachelor's or fifth-year master's degree with expected graduation between July 2026 and December 2026 and be available to start full time in February 2027; classes are filled on a rolling basis.
AI-keyword evidence: ai , artificial intelligence, ai-assisted
Summary
Entry point into JPMorganChase early careers software engineering: a two-day social impact hackathon run by the Tech for Social Good team where participants build a technology solution for a nonprofit alongside the firm's technologists, which may lead to consideration for the 2027 Software Engineer Program summer internship. The internship itself involves designing, developing, testing and troubleshooting software solutions, writing secure high-quality code in at least one programming language, and working with peers and experienced engineers on digital applications and systems. The hackathon runs Friday through Saturday with travel expenses covered under certain conditions, classes are filled on a rolling basis, and top summer performers may be invited into a full-time role upon graduation.
AI-keyword evidence: ai , artificial intelligence, ai-assisted
Summary
Software engineering role at JPMorgan Chase building enterprise web applications and REST-based microservices, with a substantial digital marketing technology component built on Adobe Experience Manager and the wider Adobe campaign and analytics suite. Duties run across the development life cycle - requirements analysis, design specifications, coding, code review, troubleshooting and design reviews - plus mentoring junior colleagues on application architecture. The opening carries a firm minimum of a bachelor's degree in an engineering or computing field plus seven years of relevant experience.
Summary
Senior full stack development role at a product development studio that builds new digital products for client companies, with an emphasis on greenfield work rather than maintaining systems built long before. Expected competencies include object-oriented programming, expert CSS and HTML, JavaScript with React, Angular or Node, MySQL, MSSQL or NoSQL, Git-based version control and front-end build tooling such as Webpack, Gulp and SASS, with responsibilities covering new builds, ongoing support of existing client applications, and code review. The team practices pair programming and agile development, and the opening is restricted to candidates in Chicago.
Summary
Application security engineering role inside an information security team, implementing and administering SAST, DAST, IAST and SCA tooling along with application security posture management, and integrating that tooling into CI/CD pipelines. A large share of the work is developer-facing: resolving false positives, guiding remediation, evaluating security exception requests and reporting on findings, with secure coding knowledge in Java and Node.js and familiarity with the OWASP Top 10 and CWE expected. Note a seniority discrepancy: the title advertises a junior opening while the stated requirements include five years of experience, coaching junior engineers and the ability to function as a principal engineer.
Summary
Senior application security engineering role in an information security team, implementing and administering SAST, DAST, IAST, SCA and application security posture management tooling and integrating it into CI/CD pipelines. Beyond tooling, the role supports development teams on triaging and mitigating findings, evangelizes secure development practice, and scales DevSecOps workflows across a large organization in AWS and Azure using infrastructure as code such as Terraform or CloudFormation. Deep secure coding knowledge across languages, especially Java and Node.js, is required.
Summary
Full-stack product engineering at the bank, responsible for the analysis, design, development, testing and maintenance of customer-facing software with full-stack ownership of production-ready, testable code and accountability for compliance and security practice. Preferred experience covers microservices and API development, modern front-end frameworks, cloud-native development, streaming technologies, and both relational and NoSQL databases, along with agile delivery, DevOps and software reliability engineering standards. Requires five to six years of relevant experience.
AI-keyword evidence: genai
Summary
Consulting role in Salesforce Professional Services, leading one or more workstreams on complex enterprise customer engagements in regulated industries such as financial services, health care and life sciences. The work is delivery-side: interacting with customer product owners, business process owners and technical staff to understand requirements, designing the solution, driving execution and securing customer acceptance of what is delivered. Facilitation and presentation ability matters as much as product knowledge, with stakeholder contact ranging from technical resources up to the C-suite.
AI-keyword evidence: cursor
Summary
Platform engineering for the Northern Trust cloud data platform, designing, operating and evolving lakehouse services that support enterprise data warehousing, analytics and AI workloads on Databricks, Snowflake, Azure and AWS. Responsibilities include building self-service onboarding and provisioning, maintaining reusable infrastructure-as-code modules and GitHub-based CI/CD pipelines, and developing frameworks for data ingestion, transformation, orchestration and processing. The role also covers platform governance, security, observability, disaster recovery and cost optimization.
AI-keyword evidence: ai , artificial intelligence, copilot
Summary
Full-stack engineering on Motorola Solutions Evidence Management features, deployed on Google Cloud Platform. The role owns architecture for video trimming, transcription and packaging services, defines the APIs for the evidence domain for external consumer teams, and leads frame-accurate media manipulation work using tools such as FFmpeg or GStreamer alongside a browser-based video trim editor. It is an individual contributor position that also carries technical lead duties on specific initiatives, including mentoring, code review and shipping LLM-powered features such as scene description and object detection.
AI-keyword evidence: ai , llm
Summary
Cloud infrastructure and DevOps engineering for the Motorola Solutions Video Services team, which builds cloud-based video management solutions for public safety and enterprise customers. Responsibilities include designing production environments across Azure and GCP for high-bandwidth video workloads, automating provisioning with infrastructure as code, managing Kubernetes deployments, owning CI/CD pipelines, and troubleshooting Java-based microservices with the software teams. US citizenship is required because of US government contract mandates and the handling of sensitive public safety data.
Summary
Embedded software engineering in the Motorola Solutions Applied Technology group, which builds proof-of-concept and low-volume specialty communications products for government and private industry. The work spans requirements analysis, high- and low-level design, coding, documentation, real-world testing and validation, with hands-on interaction with product hardware for development and debugging. Real-time embedded design experience and an interest in cellular and wireless communications are emphasized, and candidates are expected to learn and follow a formal departmental software process.
AI-keyword evidence: artificial intelligence, machine learning
Summary
Senior DevOps engineering role on the Dealer Inspire websites team at an automotive marketplace and dealer technology company, modernizing backend services and delivery tooling. The work is building CI/CD systems, treating infrastructure as code rather than making manual changes, adding monitoring and dashboards before incidents happen, and raising operational standards across the team while working with the wider website and cloud engineering groups. The position is remote but candidates must be located in the Chicago area, and onsite interviews may be required.
AI-keyword evidence: ai
Summary
Lead data engineering role designing, developing and supporting cloud-based data solutions on Agile teams alongside engineers working in machine learning, distributed microservices and full-stack systems. Preferred experience centers on Salesforce Marketing Cloud, specifically Journey Builder, Email Studio and Automation Studio, together with distributed data tooling, real-time and streaming applications, NoSQL stores and cloud data warehousing on Redshift or Snowflake. The baseline is a bachelor's degree with at least four years of application development, two years of big data technologies and two years of cloud computing, and the position is not eligible for visa sponsorship or any immigration-related support.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
Senior machine learning engineering role applying advanced AI and ML methods to biological, genomic, clinical and healthcare data in an advanced cancer screening and precision oncology setting. The work runs from requirements and solution design through implementation and deployment alongside other ML and software engineers, in partnership with biostatisticians, bioinformatics scientists and data scientists. It carries technical leadership expectations including shaping AI strategy, setting up an agile delivery cadence, building internal training resources and mentoring junior engineers.
AI-keyword evidence: retrieval augmented generation, machine learning engineer, ml engineer, ai engineer
Summary
Senior machine learning engineering role working with limited guidance on complex projects that apply AI and ML to biological, genomic, clinical and healthcare data for advanced cancer screening and precision oncology. Responsibilities span discovering and refining requirements, designing ML-based software solutions with other engineers, and implementing and deploying them in an agile, rapid proof-of-concept cadence alongside biostatistics, bioinformatics and data science teams. Mentoring junior team members and acting as a subject matter expert in cross-functional meetings are part of the role.
AI-keyword evidence: retrieval augmented generation, machine learning engineer, ml engineer, ai engineer
Summary
Quantum software R&D role writing and testing code that applies quantum algorithms to energy grid optimization problems such as unit commitment and N-k contingency, and collaborating with experimental physicists and software engineers to bridge theory and practical implementation. Requires programming fluency with Python preferred or C/C++ or Julia, experience with optimization algorithms including QAOA, IQP circuits and quantum annealing, quantum and partial quantum error correction techniques, circuit optimization such as mapping, routing and gate decomposition, and both noiseless and noisy circuit simulation plus runs on real quantum hardware. Hands-on work with open-source frameworks such as Cirq or Qiskit, including modifying them, is expected, and the role includes contributing to government and commercial proposals and publishing research.
Summary
Quantum software R&D role writing and testing code that applies quantum algorithms to nuclear physics problems, working with experimental physicists and software engineers and engaging external groups interested in quantum computing for nuclear applications. Requires programming fluency with Python preferred or C/C++ or Julia, familiarity with nuclear physics including structure and at least one subfield such as QCD, EFT or many-body methods, experience with quantum algorithms such as QPE, VQE and Hamiltonian simulation, and hands-on use and modification of open-source frameworks such as Cirq or Qiskit. The role requires being in the office three days per week and involves up to 10 percent domestic and possible international travel, along with proposal contributions and publishing research.
AI-keyword evidence: machine learning, llm
Summary
Consultancy developer role delivering client software in Java and Kotlin, embedded in cross-functional teams with business analysts, designers, and project managers. The practice emphasis is on TDD, pair programming, continuous delivery, and advocating DevOps culture rather than solo feature work. Two or more years of backend experience is expected, along with cloud exposure such as AWS, Docker, or Kubernetes, and the position is hybrid in the United States.
Summary
An entry-level (under 2 years experience) full-stack developer role at Thoughtworks, working across frontend, backend, cloud, and AI-related client projects in languages like Java, Python, JavaScript, or C#. Emphasizes TDD, clean code, and use of AI-assisted tools (Copilot, ChatGPT, Claude) within collaborative, product-focused client teams — aimed at early-career candidates with strong CS fundamentals rather than deep specialization.
AI-keyword evidence: github copilot
Summary
A staff engineering role on the WEX Fleet Services team that owns the over-the-road experience, building agentic, scalable solutions for the company's fuel card and fleet payments platform. The named stack is Java and Spring Boot with Kafka, Elasticsearch, SQL, C# and RESTful and OData services on AWS and Kubernetes, with PCI DSS compliance, API security and improvement of legacy systems part of the work.
Summary
A senior developer role designing, building and scaling enterprise knowledge graph initiatives, turning complex data into a semantic layer in partnership with data engineering and AI/ML teams. The work covers graph databases such as Neo4j and TigerGraph, Cypher and SPARQL, RDF, OWL and SKOS ontology and semantic modeling, ETL and ELT pipelines, graph-augmented AI and LLM integration, plus mentoring and technical leadership.
AI-keyword evidence: ai
Summary
Full-stack engineering role designing, developing and supporting complex software applications, leading technical discovery sessions, overseeing testing and debugging and influencing departmental strategy. The stack spans React, Vue, Angular, React Native and Node.js on the front end with .NET, Java, microservices and REST APIs behind it, across SQL Server, PostgreSQL, MySQL and MongoDB, and Azure, AWS, GCP, Kubernetes, CI/CD, GitOps and ArgoCD for delivery. AI integration work including generative AI, LLMs and embeddings is part of the scope.
AI-keyword evidence: ai , llm, generative ai
Summary
Senior role establishing and governing enterprise information architecture at a health insurer, developing ontologies and data models aligned with business strategy and regulatory requirements. Related scope spans semantic modeling and semantic layer design, metadata management, data lineage and provenance, lakehouse and data-mesh architecture, business glossary and data quality management, with mentoring and audit support.
Summary
Principal IT architecture role at Constellation, charged with creating, governing, maintaining and communicating the company's current-state and future-state architectures and with setting infrastructure, platform and governance strategy for the technology portfolio underneath its business applications and services. A key focus area is serving as the Responsible AI champion, bridging technical work and ethical considerations so AI solutions align with organizational values. The architect works with leadership to set direction for the architecture organization and to turn strategy into actionable plans.
AI-keyword evidence: ai , machine learning, generative ai
Summary
Senior cybersecurity engineering role executing the tactical, hands-on elements of Constellation's security strategy, with a central focus on achieving North American Electric Reliability Corporation Critical Infrastructure Protection compliance across the utility's IT and power IT environments. The engineer implements system security measures for confidentiality, integrity, availability, authentication and non-repudiation, performs security reviews to identify gaps in security architecture, and helps develop security risk management plans. The role acts as a liaison to the security architect and to cloud and infrastructure operations teams, and works closely with physical security on new standards and remediation.
Summary
Backend engineering on the NinjaTrader Evaluation Services team, which powers funded trader programs, building the Scala services behind the auto-liquidation engine, risk evaluation and trading services. The role designs actor-based systems handling high-throughput market data, position changes and event-driven workflows, and owns significant features end to end from technical specification through implementation, code review and production handoff, working alongside trading services engineers, frontend engineers, QA and solutions engineers.
Summary
Front-line operational resilience engineering supporting the NinjaTrader FCM Core team across account acquisition, compliance and AML, and treasury functions, sitting at the intersection of engineering and operations. Duties include acknowledging and triaging incoming incidents and applying runbooks to restore service, designing metrics and monitors across a distributed application with the SRE team, maintaining the DAG that controls FCM process sequencing and dependencies, and implementing monitoring and logging with observability tooling such as OpenTelemetry. The opening is scoped as an L1 operational resilience specialist position.
AI-keyword evidence: ai , ai tooling
Summary
Engineering leadership role owning the trade organization at a crypto and fiat infrastructure company, responsible for the trading technology behind execution, liquidity and market access, including matching engines, order and execution infrastructure, market data and FIX connectivity. It sets technical vision, architecture and roadmap, builds and scales a multi-team organization of engineering managers and senior individual contributors, and partners with Compliance, Risk and Legal on the regulatory requirements that apply to trading systems. The role expects 15 or more years of backend and distributed systems experience and 8 or more years of engineering leadership, with the leader staying technically engaged in system design and code-level decisions.
Summary
Principal engineering role leading the design and delivery of enterprise AI and generative AI solutions at the bank, building reusable enablement frameworks, accelerators and reference architectures and driving adoption of large language models, agentic AI, prompt engineering, RAG and AI-driven automation across business and technology teams. The work includes architectural guidance and consultation on AI platform strategy, governance, security and responsible AI practices, solutions using document intelligence, intelligent data extraction and workflow automation, and mentoring engineering teams while shaping the enterprise AI roadmap against risk and compliance requirements. Requires eight or more years of relevant experience and expects three or more days a week at a bank location.
AI-keyword evidence: ai engineer
Summary
An engineering role building the bank's internal AI-assisted software delivery platform, including automation pipelines, agentic workflows, prompt orchestration and multi-agent frameworks, plus LLM-powered tools that automate requirements refinement and story decomposition. The stack named is Python with TypeScript, Node.js or Java, REST APIs and authentication frameworks, CI/CD and automated testing, and AWS services such as Lambda, S3 and Bedrock, with responsible AI, guardrails and governance expectations. The role requires working from a U.S. Bank location three or more days per week.
AI-keyword evidence: github copilot, agentic workflow, agentic workflows, vector database
Summary
Service and solution architecture role in the Motorola Solutions Design and Tools organization, producing high-level designs that act as roadmaps for global services operations teams and tool product managers. The work involves evaluating current and future service delivery and operations processes, advising Services Offer Management on aligning service requests with internal toolsets, informing product roadmaps from the offer management demand backlog, and providing architectural support for customized deployments of the Local Service Management Platform. Cloud architecture experience across major platforms is part of the expected technical background.
Summary
Hands-on Android technical lead in Motorola Solutions ASTRO Device Management, serving as technical anchor for application architecture and owning major engineering initiatives for mission-critical mobile applications built for high-reliability environments. The stack is modern Android in Kotlin and Java with Jetpack Compose, asynchronous work with coroutines and Flow or RxJava, and automated unit, UI and integration testing using JUnit, Mockk or Mockito, Espresso, the Compose Test Framework and UI Automator, with some low-level C and C++ work also expected. The role sets coding standards, runs code reviews, mentors junior and mid-level engineers, and drives multiple concurrent initiatives with product management and platform teams.
Summary
A manager-level data-architect role at a professional-services firm, owning the end-to-end architecture of a healthcare AI data-and-context platform — unstructured ingestion, embeddings, retrieval, semantic layers, and governance — for the supply-chain domain. It is a hands-on architecture seat making platform-wide design decisions while partnering across engineering, product, and AI teams. Chicago-routed.
AI-keyword evidence: ai engineer
Summary
Builds AI-powered applications and workflow automation for Expedia Group's B2B marketing and digital operations organization, including copilots, intelligent agents and retrieval-augmented generation assistants. The work spans the full delivery cycle from ideation and prototyping through production deployment, integrating LLMs with enterprise data platforms, APIs and marketing technologies. Partners with marketing operations, web, paid media, CRM, analytics and data engineering teams to identify workflows that AI can change.
AI-keyword evidence: ai engineer
Summary
Lead engineering role owning a high-volume data ecosystem currently running on a Cloudera stack with HBase, Kafka and NiFi on AWS EC2, and leading its migration over roughly two years to an AWS-native managed and serverless architecture. Work includes keeping the existing production environment stable through the transition, moving billions of records with zero data loss, helping application teams refactor away from HBase APIs, rebuilding ingestion on AWS MSK, Lambda and Glue, and maintaining encryption, auditing and lineage controls throughout. This opening does not offer visa sponsorship or any immigration support.
AI-keyword evidence: ai , ai tooling
Summary
Senior full stack engineering role on the messaging platforms team within the cloud operations resilience organization, responsible for the design, deployment and operational health of the enterprise event-management platform. The work centers on Java and Spring developer APIs for Kafka tooling, automated CI/CD pipelines, cloud-native deployment on OpenShift with mTLS, JWT and KMS security standards, and incident management, monitoring and rapid production issue resolution for a high-volume shared Kafka platform. This opening does not offer visa sponsorship or immigration support.
AI-keyword evidence: ai , ai tooling
Summary
Lead full stack engineering role heading a portfolio of technology projects and a team of developers building cloud-based distributed microservice systems that help meet the company's regulatory needs. The stack spans JavaScript, Java, HTML and CSS, TypeScript, SQL, Python and Go, open source relational and NoSQL databases, Docker and Kubernetes, and a range of AWS services, with mentoring across the engineering community part of the job. This opening does not offer visa sponsorship.
Summary
A senior developer role modernizing the schedule development process within United's Network Planning organization, delivering end-to-end cloud-based solutions and supporting existing applications. The work involves large-scale distributed applications on AWS with Python, Java or C++, API development, CI/CD tooling and technical leadership across requirements analysis, design and prototyping.
Summary
Individual-contributor software engineering role on an agile team in JPMorganChase's Commercial and Investment Bank, building enterprise Java services and the architecture and design artifacts that go with them. Day-to-day work covers secure production coding, technical troubleshooting, and drawing reporting and insight from large data sets to improve existing applications. Applicants must be US citizens, and the role expects hands-on use of the firm's approved AI coding assistants with outputs validated through peer review and automated testing.
AI-keyword evidence: ai , artificial intelligence, machine learning, ai-assisted
Summary
Backend engineering role on the digital communication team within JPMorganChase's Consumer and Community Banking technology organization, building high-throughput services and event-driven microservices behind customer communication workflows. The work includes managing and optimizing data access across distributed and relational databases and producing architecture and design artifacts for complex applications. Approved AI coding assistants are part of the expected workflow, with outputs validated through peer review, automated testing and secure coding standards.
AI-keyword evidence: ai , ai-assisted
Summary
A senior cloud engineering lead designing and deploying cloud-native applications across a wide swath of AWS services, automating infrastructure with CloudFormation, Terraform, or CDK, and enforcing IAM, encryption, and compliance controls. The role also governs adoption of AI-assisted engineering practices across teams and supports audits and regulatory reviews.
AI-keyword evidence: github copilot
Summary
Senior engineering role on DRW's Treasury Development team, building full-stack applications from APIs through UI that support secured financing, margin and collateral management, and cash and liquidity management across the trading firm. The team is small and works directly with Treasury business partners, shipping on Kubernetes with modern CI/CD, with Python and FastAPI and Ruby on Rails named as useful but not required. Teams own software end to end after it ships, including deployment, operations and on-call, rather than handing systems to a separate ops group.
Summary
Ten-week summer internship on DRW's platform engineering team in Chicago, working under senior technologists on the reliability, scalability and efficiency of the trading firm's systems. Interns design and write software that improves availability and latency, manage service capacity and disaster recovery, build automation to prevent repeat incidents, and collaborate with infrastructure engineers, software developers, quantitative traders and researchers. Candidates should be pursuing a degree in computer science, engineering or a related science discipline with an expected graduation date between December 2027 and June 2028.
Summary
Leads the software engineering practice at an Azure-focused consultancy as a manager of managers, establishing reference architectures, engineering standards and evaluation frameworks for API-first, microservices and event-driven application development. The role blends architectural oversight on key client engagements with people leadership and accountability for delivery quality, billable utilization and margin health, including building reusable assets and accelerators for the practice.
AI-keyword evidence: ai-assisted
Summary
Builds, maintains and optimizes data infrastructure including databases and ETL pipelines that serve cross-functional business needs at a pharmaceutical company, integrating varied sources into a foundation for analytics and data science. The work covers data warehousing, quality control and monitoring processes, and technical documentation, under corporate standards for GxP compliance, data security and the software development lifecycle. Programming in Java, Python, R or SQL is required, with API extraction work and applied machine learning in clinical or pharmaceutical contexts preferred.
AI-keyword evidence: machine learning
Summary
Entry-level software engineering role in a biopharma company's business technology organization, building web applications and data analysis pipelines that serve scientists, and designing and maintaining back-end components of enterprise applications. Required skills are Java, SQL and TypeScript, with Salesforce APEX development and experience folding generative AI techniques into custom software listed as preferred.
AI-keyword evidence: ai , generative ai
Summary
Integration engineering role on AbbVie's Connected Factory program, which owns the platforms connecting manufacturing shopfloor systems and making their data available for advanced use cases. Work spans gathering requirements from business users, designing and engineering integration capabilities, producing architecture drawings and system documentation, building and running test protocols, authoring deployment instructions, and troubleshooting issues, across IT and OT convergence, API management, MQTT and other real-time streaming, unified namespace management and data historization. Named platforms include Ignition, OSI PI, Kepware, HighByte and AWS cloud services, and the requirement is a computer science or information systems bachelor's degree plus two years of developer, systems analyst or integration experience, or a master's with none.
AI-keyword evidence: artificial intelligence
Summary
Site reliability and platform engineering role on a runtime automation team responsible for core infrastructure, deployment platforms and CI/CD ecosystems at a food ordering and delivery marketplace. Work spans infrastructure as code with Terraform or Pulumi, high-throughput multi-cloud pipelines on Jenkins and Spinnaker across AWS and GCP, Docker containerization, server image management, low-level Linux engineering, and a centralized logging platform built on Vector, Datadog and Splunk. A significant part of the role is hardening and securing a card payment environment, alongside mentoring mid-level and junior engineers.
Summary
Designs and evolves backend services, APIs and data models behind Expedia Group's content and product catalog, the systems that acquire, enrich and distribute images, text, video and attributes across its brands. Leads system and low-level design for content and catalog services, including API contracts and data modeling, and drives multi-service features from discovery through deployment. The team works in a DevOps model where engineers own testing, deployment, observability, incident response and support for what they build.
AI-keyword evidence: ai , ml , machine learning
Summary
This is a hands-on individual-contributor AI engineering role at a health insurer, building and scaling production enterprise AI spanning traditional machine learning, generative AI and agentic systems. Beyond writing production code, the engineer architects reusable AI services, frameworks, accelerators and reference architectures that multiple teams consume, leads buy-versus-build-versus-integrate decisions across commercial and open-source AI options against regulatory and maintainability constraints, and mentors junior AI engineers. It is explicitly framed as neither a research nor a management role, and requires one to two in-office days per week within commuting distance of a posted office location.
AI-keyword evidence: ai engineer
Summary
Application security engineering role within CME Group's Global Information Security group, developing secure software reference designs, delivery systems and enterprise-wide solutions and contributing to security strategy and roadmap planning. The work is genuine software development held to secure SDLC discipline: implementing products, writing unit, integration and system tests, reviewing code to identify and mitigate defects, and producing design and technical documentation, grounded in cryptography, authentication and authorization, secure data handling, auditing and input validation. It also serves as a security liaison to other engineering divisions and external groups, and asks for a computer science or information systems degree or equivalent experience plus eight or more years in application development or infrastructure.
Summary
Staff-level engineering role building LLM-based agentic systems inside Chamberlain Group's access and myQ products, including video-based search, chatbot interfaces for search and insight, and the backend pipelines and APIs that deliver those features. The work covers agent orchestration with frameworks such as LangChain, LangGraph and CAMEL, plus reasoning, planning and long-term memory retrieval, along with mentoring other engineers in AI-native patterns and setting engineering standards. It asks for 10+ years of software engineering experience with at least 2 years on LLMs or agentic AI systems.
AI-keyword evidence: vector database
Summary
Chief architect role setting enterprise-wide technical architecture for a cloud platform serving insurers, repairers, automakers and parts suppliers, spanning products, data systems, AI capabilities and engineering practices. The remit covers multi-cloud architecture strategy and decision frameworks, the shift toward an AI-native platform including computer vision, generative AI, agentic workflows, model orchestration, evaluation and governance, and the data foundation of event streams, lineage, data contracts and lakehouse patterns. It is described as a hands-on role that moves between board-level technology strategy and deep design work with principal engineers, AI researchers and product leaders.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Senior AI engineering role at a global exchange and market infrastructure operator, owning AI initiatives end to end from scoping and discovery with business stakeholders through hands-on design, development and deployment of production systems. Beyond building individual agents, the role defines reusable agent services used across the company, sets the internal standard for how AI systems are built, and mentors other engineers. The position follows a four day per week in-office schedule at the downtown Chicago headquarters.
AI-keyword evidence: ai engineer
Summary
Product management role owning the enterprise strategy and delivery for the company's AI coding tool portfolio, including the agentic development tools used by thousands of internal engineers. The work centers on reducing friction so more developers adopt AI-augmented workflows, scaling AI code review to become the enterprise default, and ensuring the tools embed internal engineering standards and context. Candidates need a bachelor's or master's degree in a quantitative or technical field, or any bachelor's degree plus at least four years of product management experience.
AI-keyword evidence: claude code
Summary
A solution architect role inside PNC's HR Information Systems group, serving as the subject matter expert for the Workday Learning and Talent modules. The work is configuring and extending that platform with stakeholders across HR: gathering requirements, designing process improvements, implementing new functionality, and handling data migration, system administration and vendor coordination.
Summary
Lead engineering role on tax product development at a professional services firm, owning end-to-end delivery of large features and systems and defining technical requirements and architecture for tax products and platforms. The stack is the full Microsoft one, with C#, ASP.NET, JavaScript frameworks such as Angular, TypeScript or React, stored procedures and schemas on SQL Server or Azure SQL, and CI/CD pipelines on Azure. The role acts as a direct supervisor and career advisor to team members, champions secure coding and technical debt reduction, and works across global teams in a hybrid in-person and virtual setting.
Summary
Site reliability engineering role supporting payment systems in JPMorganChase's commercial and investment banking technology organization, executing small to medium projects with initial direction. Day-to-day work is triaging, diagnosing and resolving incidents at their root, eliminating operational toil through systems engineering or application code changes, and improving observability through service level indicators, objectives and alerting. Roughly two years of applied experience is the stated baseline for candidates in the Americas and Asia-Pacific, with different expectations listed for other regions.
AI-keyword evidence: ai , ai-assisted
Summary
Senior engineering role at a product consultancy that embeds integrated teams with clients to build AI-powered workflow software, concentrated in industrial products and services, logistics and distribution, and rail and fleet operations, with selective work in digital health and biopharma. Beyond building and testing back-end and front-end features, the role drives technical direction at the feature level, advocates modular architecture and testing discipline, and works fluently with AI-assisted and agentic development tools while holding their output to a quality bar and setting team norms for their use. Client-facing responsibility is central, including owning the relationship on straightforward projects and guiding client technical strategy.
AI-keyword evidence: ai , ai-assisted
Summary
Lead AI engineering role at consultancy Egen, owning the full lifecycle of generative AI features - specifically document intelligence and RAG pipelines - from prototype to production services that hold up against latency, error-handling and cost constraints. The work is Python-centric on Google Cloud with LangChain and LlamaIndex, vector search, semantic search, LLM and embedding fine-tuning, and agentic workflows for multi-step reasoning, applying MLOps practices for serving and monitoring. The role is client-facing and asks for 8+ years in AI/ML with a track record of deploying GenAI products to production.
AI-keyword evidence: agentic workflow, agentic workflows, rag pipeline, ai engineer, vector database
Summary
Principal engineer role at a software consultancy for someone with roughly ten or more years of experience guiding ambiguous, high-stakes client initiatives. The work centers on building production-grade platforms, tooling and infrastructure that other teams build on, taking AI and agentic systems from prototype to production with attention to infrastructure, authentication and observability, and leading modernization and replatforming of legacy systems. Mentorship and alignment across technical and non-technical stakeholders are explicit parts of the role.
AI-keyword evidence: rag pipeline
Summary
Lead engineer role at a software consultancy, acting as the go-to technical leader on client engagements from discovery through production and typically working with one to two clients a year. The expected background is roughly seven or more years of production work across languages and frameworks such as Java, C#/.NET, Python, TypeScript, React, Go, Ruby and SQL, plus automated testing, refactoring of existing code and architecture-level work on scalability, security, reliability and performance. Use of AI-assisted development tools and experience building or integrating AI and ML features into products are also expected.
AI-keyword evidence: rag pipeline
Summary
Builds and maintains infrastructure and data systems on Google Cloud Platform for a consultancy's enterprise clients, with emphasis on Infrastructure as Code using Terraform or Google Cloud Deployment Manager and on establishing CI/CD and DevOps practice with development teams. This is an 18-week contract engagement, worked remotely within the US with a preference for Central time, and immediate availability is required.
AI-keyword evidence: ai , artificial intelligence
Summary
Hands-on operations engineering role at a crypto and fiat value transfer platform, owning daily settlement and trading operations: deposits, withdrawals, internal transfers and sweeps, multi-way reconciliations across internal ledgers, bank and custodian statements and partner float files, and the trade lifecycle from execution through settlement. A large share of the work is investigative and code-driven, writing SQL against production tables, reading distributed transaction logs, automating reconciliations and participant liquidations in Python, and capturing procedures in runbooks. The role also serves as subject matter expert and mentor for the team, supports partner go-lives and new asset listings, and expects day-to-day use of LLM tooling.
AI-keyword evidence: ai , ai tooling, llm, claude, gpt, copilot, ai-assisted
Summary
Senior client-facing support engineering role acting as the final escalation point for the most complex integration and infrastructure issues on a crypto and fiat value transfer platform. The work goes well beyond ticket handling: deep-diving into codebases and distributed systems, writing complex SQL and debugging code, architecting internal tools, dashboards, alerting and runbooks, leading major incident response and root cause analyses, and mentoring junior and mid-level support engineers. Around five years in a highly technical client-facing support, solutions engineering or backend development role is expected, ideally in enterprise SaaS, fintech or trading infrastructure.
AI-keyword evidence: ai , ai tooling, llm
Summary
Technology engineering role in a pharmaceutical R&D setting, designing and building data, software and automation solutions and applying AI-assisted development tools and agentic workflows across ideation, prototyping, code generation, testing and documentation. The work also involves translating R&D business requirements into user stories and using low-code and no-code platforms to build solutions for research users, with human review, traceability, security and compliance required for all AI-assisted output.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Senior .NET development on the FactorTrust bureau platform, leading the bureau fulfillment and back office application and owning the full software development lifecycle while the team also drives cloud migration and new product development. Responsibilities include designing enterprise-scale solutions aligned to business strategy, tracking and analyzing technology performance metrics, driving application support, incident and change management, and ensuring technology practices meet information security and compliance standards. This is a hybrid position requiring a minimum of two days a week in an assigned office, and asks for five or more years of software development experience.
AI-keyword evidence: ai , machine learning, llm
Summary
Hands-on Java engineering at OCC, delivering business features in an application that integrates a variety of upstream data sources and presents data-rich views through a user interface built to stay reliable on the busiest trading days in the world economy. The role spans backend, UI and DevOps work, helps build in-house development capability as a vendor engagement comes to an end, collaborates with other leads on complex multi-system solutions, and prepares applications for production readiness. Fifteen or more years of software development experience including ten in Java, plus cloud, container and CI/CD experience, is required, and applications are accepted only through the company careers site.
Summary
Software engineering role at Northern Trust designing, building and testing applications, defining technical system requirements for complex data processing projects, and collaborating with cross-functional users to analyze business needs, prototype and deliver applications. Day-to-day work includes coding, testing, debugging and maintaining programs, feasibility studies, and assisting with administration of the Power BI platform, including onboarding new use cases and providing technical support. A degree in computer science or a related STEM field plus two years of software design, development, testing and implementation experience is required, and part-time telecommuting may be permitted.
Summary
Principal-level cloud architecture role defining enterprise cloud strategy, standards, and governance at a financial institution and leading the design of cloud-native and hybrid architectures that meet security and compliance requirements. Day-to-day includes cost optimization frameworks, evaluating emerging technology, and mentoring architects, engineers, and developers across multiple teams. The bar is 10 or more years in IT with at least 5 in cloud architecture, depth in AWS, Azure, or GCP plus containers and serverless, with infrastructure as code and coding ability in Python, Go, or Java listed as preferred.
Summary
Client-facing architecture role in a consulting AI practice serving higher education institutions and academic medical centers, contributing to the design and implementation of AI-powered solutions across multiple engagements. Responsibilities include driving architectural decisions on data pipelines, model orchestration, API development, observability and enterprise integration, evaluating client needs and platform constraints to recommend scalable and secure designs across cloud, on-prem and hybrid setups, and building shared architectural patterns and reusable components. The work applies both traditional machine learning and generative AI, including LLMs, embeddings, RAG and AI agents, along with orchestration protocols such as tool use, function calling and MCP.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Application architecture ownership for enterprise payments technology at a bank, developing and communicating the application-level roadmap and building frameworks and platforms that the wider technical delivery organization consumes. The role governs architectural standards and usage patterns against the bank's target-state enterprise architecture under a federated architect program, runs product and solution evaluations, and mentors technical delivery staff. Requirements are a bachelor's degree and 7 or more years of related experience, with the workplace type listed as office.
Summary
Hands-on principal-level technical leadership over enterprise workflow platforms at a health insurer, centered on ServiceNow, front-end and product engineering, and the modernization of legacy workflow tools, forms, portals and manual processes into digital products. The role also sets enterprise technical direction for AI systems, including agentic architectures, large language models, distributed and event-driven design, AI-assisted development practices, and governance standards for monitoring, evaluation and responsible AI. It requires three days a week in the office, and candidates must live within commuting distance of a posting location.
AI-keyword evidence: ai , llm, ai-assisted
Summary
Principal-level engineering role on the One Pipeline team, building the next generation of the CI/CD platform through which nearly every application at the company deploys. The work combines defining the technical vision for the build and deployment domain with hands-on design and implementation quality, and acting as the authority on performance, scalability and operability. Around seven years of software engineering and solution architecture experience is required, with a decade of coding in languages such as Java, Python, Go or JavaScript preferred.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
DevOps engineering role at a national laboratory leadership computing facility, supporting a secure, federated multi-cloud science platform that gives Department of Energy researchers AI-ready datasets, large-scale training and inference, distributed simulation and instrument control. The work is largely Kubernetes-based cluster administration and building CI/CD and provisioning automation with Terraform, GitOps and Python, plus managing image registries such as Harbor, implementing security controls defined by the cybersecurity team, and configuring monitoring and alerting instrumentation. It also includes operational support for production applications across managed Kubernetes services such as EKS, AKS and GKE and coordination with vendors on hardware and software problems.
AI-keyword evidence: ai
Summary
Senior software architecture role in a diagnostics informatics division, developing reference architecture, system and platform roadmaps and implementation strategy for native, web and cloud healthcare software. The work includes partnering with development teams on concrete architecture and design for software-based medical device products, optimizing applications for performance, scalability and maintainability, and governing adherence to architectural standards. Compliance with FDA and other global regulatory requirements is part of the role.
Summary
A staff-level role serving as the technical owner for the infrastructure and security group, setting architecture and standards and making the technical calls across infrastructure, DevOps and security engineering. The work covers end-to-end ownership of an AWS cloud platform, CI/CD and delivery automation with Terraform infrastructure as code, retiring legacy services and consolidating vendors to shrink attack surface, unifying human, service, machine and agent identity, running a staffed infrastructure and security incident response rotation, and driving security compliance and supply-chain scanning. Background sought includes a formal information security grounding, having led a SOC 2 or similar audit, and having led at least one enterprise breach or data-leak incident response.
Summary
A security architecture role defining and validating secure development standards for United's services, applications and websites, and embedding security throughout the product lifecycle with cross-functional teams. The work spans application security assessment and testing, threat modeling, secure coding against the OWASP Top 10 and CWE Top 25, SAST, DAST and SCA in CI/CD, cryptography and identity, and reference architecture and remediation guidance.
Summary
Senior HR-systems solution architect leading Workday configuration, integration, reporting, and security across HR, Payroll, and Talent processes, driving business-process improvement and mentoring colleagues. This is enterprise HRIS/Workday solution work — configuration, data migration, and HRIS operations — rather than software development.
Summary
Anaplan platform architecture at a health insurer - model building, application lifecycle management and security configuration on the connected planning platform, with integration tooling and alignment to enterprise architecture. The named focus areas are workforce planning and workforce management, alongside predictive modeling and data visualization in Power BI or Tableau, plus mentoring and stakeholder engagement.
Summary
Senior DevOps engineering role designing, building and scaling cloud infrastructure and CI/CD capabilities for healthcare applications. The work centers on implementing infrastructure as code with Terraform and driving compliance across DevOps processes, with hands-on Azure and AWS experience and YAML-based pipelines called out as the core requirements alongside GitHub Actions, Kubernetes on AKS, Python and PowerShell.
Summary
Hands-on engineering leadership role building an AI-assisted developer portal and the secure external API platform behind it, covering contract-first API design, versioning and backward compatibility, and the authentication and credential workflows external integrators rely on. Roughly half the time is spent on critical-path coding, architecture reviews, code review and performance work, with the rest on coaching engineers and driving delivery across teams that own different backends. Ten or more years of applied experience is required, along with strong security fundamentals for external integrations and experience shipping production AI capabilities beyond simple chat.
AI-keyword evidence: ai
Summary
Senior individual-contributor engineering role on the electronic trading team in JPMorganChase's Commercial and Investment Bank, writing and reviewing production code and giving technical direction to internal teams, contractors and vendors. The role serves as a function-wide subject matter expert, drives decisions on product design, application functionality and technical operations, and sets team standards for validating output from approved AI-assisted development tools. Ten or more years of applied experience with advanced C and C++ skills is required.
AI-keyword evidence: ai , artificial intelligence, machine learning, ai-assisted
Summary
Software engineering role at JPMorgan Chase developing enterprise web applications and single-page front ends on a microservices architecture, including Adobe Experience Manager components. Beyond feature development the work covers building and maintaining delivery pipelines, static analysis and quality gates, automated regression, performance and load testing, migration of legacy applications to the cloud, and production support using enterprise observability tooling. The stated minimum is a master's degree in a computing field plus one year of experience, or a bachelor's degree plus three years.
Summary
Site reliability engineering role supporting payment systems in JPMorganChase's commercial and investment banking technology organization, configuring, monitoring and optimizing applications and their underlying infrastructure through code. The work includes implementing infrastructure, configuration and network as code, building automated delivery pipelines for reliable deployments, and using service level indicators and objectives to address problems before customers are affected. Around three years of applied site reliability experience is the stated baseline for candidates in the Americas and Asia-Pacific, with different expectations listed for other regions.
AI-keyword evidence: ai , ai-assisted
Summary
Forward deployed engineering role in project44's p44LSP.ai division, embedded directly with high-value logistics service provider accounts rather than working from a central product team. The work covers owning integration architecture, customizing agent workflows to how each customer actually operates, and feeding field learning back into the roadmap, with the stated aim of replacing manual logistics workflows with autonomous agent-to-agent coordination. The team is small and distributed across Chicago, San Francisco, Bangalore and the EU, and everyone is expected to actively use AI tooling in daily work.
AI-keyword evidence: ai
Summary
Forward deployed engineering role in project44's p44LSP.ai division, embedded directly with high-value logistics service provider accounts rather than working from a central product team. The work covers owning integration architecture, customizing agent workflows to how each customer actually operates, and feeding field learning back into the roadmap, with the stated aim of replacing manual logistics workflows with autonomous agent-to-agent coordination. The team is small and distributed across Chicago, San Francisco, Bangalore and the EU, and everyone is expected to actively use AI tooling in daily work.
AI-keyword evidence: ai
Summary
Forward deployed engineering role in project44's p44LSP.ai division, embedded directly with high-value logistics service provider accounts rather than working from a central product team. The work covers owning integration architecture, customizing agent workflows to how each customer actually operates, and feeding field learning back into the roadmap, with the stated aim of replacing manual logistics workflows with autonomous agent-to-agent coordination. The team is small and distributed across Chicago, San Francisco, Bangalore and the EU, and everyone is expected to actively use AI tooling in daily work.
AI-keyword evidence: ai
Summary
Backend software engineering role on project44's supply chain decision intelligence platform, designing and operating services that turn large-scale logistics data into recommendations, decision support and automated actions for customers. It includes owning and modernizing core platform services such as identity and access management and search infrastructure, building on Google Cloud Platform, and taking shared ownership of development, testing, deployment and operations for the team's systems. The role participates in a team on-call rotation, and the company expects every employee to actively use AI tooling in day-to-day work.
AI-keyword evidence: github copilot, cursor
Summary
Backend software engineering role on project44's supply chain decision intelligence platform, designing and operating services that turn large-scale logistics data into recommendations, decision support and automated actions for customers. It includes owning and modernizing core platform services such as identity and access management and search infrastructure, building on Google Cloud Platform, and taking shared ownership of development, testing, deployment and operations for the team's systems. The role participates in a team on-call rotation, and the company expects every employee to actively use AI tooling in day-to-day work.
AI-keyword evidence: github copilot, cursor
Summary
Engineering leadership role for p44LSP.ai, a newly created AI-native division at project44 aimed at freight forwarders, brokers and third-party logistics providers. The role sets technical direction across microservices architecture, agentic AI systems, data pipelines and customer-facing product surfaces, hires and leads an engineering team spanning the US and EU, owns the agentic AI roadmap, and works with forward deployed engineers to close the loop between customer reality and the product plan. It is framed as hands-on as well as strategic and looks for 12 or more years of software engineering plus 8 to 10 years of engineering leadership.
AI-keyword evidence: ai engineer
Summary
Hands-on data engineering role on a small, high-ownership team at Jellyvision, building and operating pipelines that move data across the company's benefits platform, spanning both inherited legacy systems and newer infrastructure. The role owns pipeline operations end to end - monitoring, incident resolution and data quality - and provisions and maintains the underlying infrastructure using the team's infrastructure-as-code practices, while mapping dependencies and paying down technical debt in systems it takes over. Six to eight or more years of data engineering experience with production ownership is required, and the small team expects people to step outside their primary area when priorities shift.
AI-keyword evidence: claude code, cursor
Summary
A client-facing data architecture role in an Azure managed-services practice, spanning Synapse, Data Factory, Databricks, Azure ML, Data Lake and Power BI environments. Day-to-day work mixes incident and escalation response across client environments, handled through a ticketing system and direct client contact, with designing large-scale Databricks Lakehouse and medallion architectures, ingestion frameworks and semantic layers, and mentoring junior engineers. Healthcare data experience with sources such as Epic Clarity, Caboodle, Health Catalyst and claims systems is central.
Summary
An engineering management role leading Upside's Consumer Core team, a full-stack group that owns the architectural foundations and security patterns behind the consumer product, built on a Kotlin Multiplatform front end with Python and Java back-end services. The role blends technical contribution with people leadership: coaching engineers, holding domain boundaries across authentication, event architecture, internal mobile tooling, app security and cross-team repositories, and closing gaps in reliability, scalability, security, cost and performance across the app and API stack. It also serves as the main point of contact for product, design, security and data science partners and helps shape organizational and technical strategy with other engineering leaders.
AI-keyword evidence: ai , generative ai
Summary
Customer-facing software engineering role that leads complex enterprise deployments and architects custom cloud and Android solutions for key Zebra customers, then channels frontline findings back into internal engineering to shape core product direction. Day-to-day work spans establishing requirements, full-cycle software design and development, code reviews, integration of software with hardware, validation and testing, and design and user documentation. It requires three days per week in either the Holtsville, New York office, which is preferred, or Lincolnshire, Illinois.
AI-keyword evidence: github copilot, claude code, cursor
Summary
Hands-on technical architect role inside Zebra's IT platform engineering, cloud and AI organization, focused on designing and scaling cloud-native AI platforms, AI-powered log intelligence for AIOps, and semantic developer tooling. Much of the work is innovation scouting and rapid validation: running proofs of concept, evaluating generative AI, machine learning and robotic process automation for corporate adoption, facilitating ideation workshops, and reporting progress and KPIs to leadership. The position is hybrid, requiring a minimum of three days per week on-site in Lincolnshire, Illinois or Holtsville, New York.
AI-keyword evidence: machine learning engineer, ai engineer
Summary
Technical leadership on a business-critical, always-on cloud SaaS product, defining frameworks, tooling, standards, and best practices for an agile team that includes frontend and UX developers, QA, and business analysts, and mentoring engineers on their career development. The posting is notable for asking, as a qualification, for hands-on experience using agentic AI agents to assist with design, coding, refactoring, and problem resolution. It requires eight or more years of programming experience including at least three as a senior engineer or technical lead, and five years building high-traffic public-facing web applications.
AI-keyword evidence: ai
Summary
A cybersecurity engineering role focused on artificial-intelligence security at Wintrust. The job sits in a banking security context and is for someone shaping secure use of AI systems, controls, and engineering practices rather than a general helpdesk or operations role.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm
Summary
Senior data-engineering leadership role designing the data backends and warehouses for large distributed electronic-trading systems in the bank's Capital Markets organization. It involves data modeling, RDBMS design for low-latency and high-throughput trading, ETL between pre- and post-trade back-office systems, and cloud data platforms such as Redshift, Snowflake, Databricks, and Spark/Flink. Capital-markets domain knowledge (reference and security-master data and trade data) is strongly preferred, with about ten years of experience expected.
AI-keyword evidence: ai , machine learning
Summary
A lead engineer role in Salesforce's Digital Enterprise Technology org, building and integrating the Workday Finance platform that runs Salesforce's own finance operations. Indiana among several sites. A Workday-platform / enterprise-systems engineering role, for someone deep in Workday Finance and integrations.
AI-keyword evidence: github copilot, cursor
Summary
Maintenance and advancement of a Windows client and server application suite for ASTRO device management, built on C# and .NET Framework with WPF desktop interfaces, Entity Framework data access, and WCF and REST services. The role pairs implementation with substantial testing and quality assurance responsibility across all development phases, with a strong emphasis on automation, and includes translating upstream requirements into detailed box-level software requirements. Azure familiarity is wanted because the on-premise suite is being modernized toward the cloud.
Summary
Full-stack application engineering delivering and maintaining end-to-end applications on complex multi-technology platforms for a health insurer. Responsibilities include technical design and code reviews, owning technical specifications and enhancement backlogs, planning and implementing change deployments and framework upgrades, providing release and production support, investigating major incidents to improve detection and resolution time, and mentoring teammates while leading small to medium projects. Requires a bachelor degree in information technology or computer science plus a minimum of 5 years related experience, and an in-office presence of 1 to 2 days per week - candidates outside commuting distance of a posted location are not considered.
Summary
The posted title differs from the internal one, which is Senior Automation Engineer: this role designs, builds, and governs enterprise-scale intelligent automation centered on agentic AI, including LLM APIs, retrieval-augmented generation, prompt engineering, and multi-agent architectures at a market infrastructure operator. It pairs a software engineering foundation in Python and a compiled language, microservices, CI/CD, and infrastructure-as-code with a heavy security remit covering AI threat modeling, prompt injection defense, and zero-trust handling of model inputs and outputs. The position follows a four day per week in-office model in either the Chicago or Overland Park office.
AI-keyword evidence: ai engineer
Summary
A lead back end engineering role running a portfolio of technology projects and a team of developers working on distributed microservices and full stack systems that help meet regulatory needs. The stack spans Java, Python, SQL, Node, Go and Scala with open source RDBMS and NoSQL databases, Docker and Kubernetes and a range of AWS services, and the role includes mentoring plus occasional hands-on coding and code review. The posting states the company will not sponsor a new applicant for employment authorization or offer any immigration-related support for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior engineering leadership role on the Pulse Network within Capital One's Global Payment Network technology organization, which handles debit card authorizations, fraud detection, settlement, and back office systems. The engineer leads a portfolio of projects and a team of developers working on distributed microservices and full stack systems, and is still expected to code or evaluate code from time to time, across Java, Python, Go, TypeScript, JavaScript, SQL, Docker and Kubernetes on AWS. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior engineering leadership role on the Pulse Network within Capital One's Global Payment Network technology organization, which handles debit card authorizations, fraud detection, settlement, and back office systems. The engineer leads a portfolio of projects and a team of developers working on distributed microservices and full stack systems, and is still expected to code or evaluate code from time to time, across Java, Python, Go, TypeScript, JavaScript, SQL, Docker and Kubernetes on AWS. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior engineering leadership role on the Pulse Network within Capital One's Global Payment Network technology organization, which handles debit card authorizations, fraud detection, settlement, and back office systems. The engineer leads a portfolio of projects and a team of developers working on distributed microservices and full stack systems, and is still expected to code or evaluate code from time to time, across Java, Python, Go, TypeScript, JavaScript, SQL, Docker and Kubernetes on AWS. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
Engineering management role leading full stack developers and a portfolio of projects on the global payment network, building cloud-based distributed microservice systems that help meet the company's regulatory needs. Technologies named include JavaScript, Java, HTML and CSS, TypeScript, SQL, Python and Go, open source relational and NoSQL databases, Docker and Kubernetes, and AWS services, with occasional hands-on coding and code review expected. The role requires at least six years of software engineering and four years of people management, and the employer will consider sponsoring work authorization.
AI-keyword evidence: ai , ai tooling
Summary
Engineering management role leading a back end development team and a portfolio of projects on the global payment network, delivering cloud-based distributed microservice systems that support the company's regulatory needs. Named technologies include Java, Python, SQL, Node, Go and Scala, open source relational and NoSQL databases, Docker and Kubernetes, and AWS services, and the manager is still expected to code or evaluate code from time to time. At least six years of professional software engineering and four years of people management experience are required, and the employer will consider sponsoring work authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
Back end engineering manager opening on the global payment network, leading a team of developers experienced in distributed microservices and full stack systems and delivering cloud-based solutions tied to the company's regulatory obligations. The listed toolset is Java, Python, SQL, Node, Go and Scala with open source relational and NoSQL databases, Docker and Kubernetes, and AWS, with occasional hands-on coding and code review alongside mentoring. It calls for at least six years of software engineering plus four years of people management, and the employer will consider sponsoring work authorization.
AI-keyword evidence: ai , ai tooling
Summary
Full stack engineering manager opening on the global payment network, responsible for a team of developers and a portfolio of projects delivering cloud-based distributed microservice systems that support regulatory requirements. The stack spans JavaScript, Java, HTML and CSS, TypeScript, SQL, Python and Go, open source relational and NoSQL databases, Docker and Kubernetes, and AWS, with the manager occasionally coding or reviewing code and mentoring the wider engineering community. Six years of software engineering and four years of people management are the stated minimums, and the employer will consider sponsoring work authorization.
AI-keyword evidence: ai , ai tooling
Summary
Software quality assurance and computerized system validation role at a healthcare products company, reviewing software quality deliverables across multiple projects and contributing to validation packages including risk assessments such as FMEAs, plans, requirements and protocols. Compliance with FDA QSR, ISO guidance and 21 CFR Part 11 for computerized systems is central, and the role also supports supplier and vendor quality assessments and process improvement work. It is an onsite position and may be based at any of the company's US locations.
Summary
A developer role enhancing and extending United's internal developer portal and Kong API platform, with a focus on platform stability and reliability and on delivering secure, scalable services. The work is cloud-native software engineering across distributed systems, site reliability practices, DevOps and infrastructure as code, with React, AWS, .NET and Java in the mix.
Summary
IT service operations engineering role covering problem, incident and event management at a health insurer, aimed at strengthening enterprise event correlation and proactive detection of service disruptions. The work centers on Splunk and Dynatrace with ServiceNow, spanning dashboarding and data visualization, service mapping, criticality tiering, AIOps, trend analysis and scripted automation within ITIL frameworks.
Summary
Lead role driving the development and governance of enterprise information architecture at a health insurer, including creating ontologies and data models aligned with business strategy and regulatory requirements. Surrounding scope covers metadata management, data lineage and provenance, business glossary and data stewardship workflows, data quality management and audit support, with mentoring and project leadership expected.
Summary
Senior AI engineering role designing and developing machine learning models intended to improve employee experiences and drive business outcomes, working with cross-functional teams. The toolkit named centers on Python, Spark and PySpark, PyTorch, retrieval-augmented generation and AWS SageMaker, with data engineering and CI/CD practice expected, and the role is designated virtual.
AI-keyword evidence: ai engineer
Summary
A senior individual-contributor security architecture role: evaluating cybersecurity principles, processes, and controls, leading assessment of new technologies against existing frameworks, and advising senior leaders during periods of vulnerability as a function-wide subject matter expert. Calls for seven-plus years delivering enterprise-level security solutions, advanced programming ability, and practical cloud-native experience.
AI-keyword evidence: artificial intelligence, machine learning
Summary
Data engineering role in Egen's client-facing data practice, building batch and streaming pipelines on Google Cloud with BigQuery, Dataflow, Pub/Sub and Cloud Storage, and developing API-driven integrations over REST, JSON and event-based patterns. The work is focused on the healthcare domain and involves standards such as FHIR, HL7 and EDI, along with data modeling, data quality and reliability, and owning deliverables from design through deployment. It asks for four to six years of data engineering experience with strong Python and SQL.
Summary
Software development engineer in test role at a consulting firm, building and maintaining automated tests across client application stacks within agile squads, ensuring automated test cases execute correctly in the CI/CD pipeline, reporting on testing KPIs, logging and coverage, and providing sign-off for releases. The role mentors other SDETs on automation architecture, methodology, coding standards and best practices through code and architecture reviews, and coordinates with an offshore team on testing requirements. Requires a bachelor's degree plus at least five years writing automated tests at unit, integration and system levels; note a title discrepancy, in that the opening is advertised as quality engineering while the scope described is a lead software development engineer in test.
Summary
A staff-level analytics engineering role serving as the technical anchor for one of Kin's analytics engineering teams, owning ontology design, semantic and dimensional modeling (including Looker/LookML), and the shared data-model patterns the team builds on as the company adopts a data mesh. It pairs the hardest data-modeling and architecture work with acting as a technical thought partner who turns ambiguous business needs into durable technical plans.
AI-keyword evidence: claude code
Summary
A hands-on engineering manager leading a backend software team at FreeWheel (ad tech), overseeing design, release management, budgets, and standards while still contributing to backend development. It requires exercising independent judgment and, notably, availability for nights and weekends and a variable schedule; based in Chicago on a hybrid arrangement.
Summary
A lead role building Zebra's Android developer experience function for enterprise Android devices. The work is API guidelines, SDK and developer-platform standards, design reviews, DevEx roadmap ownership, developer training, partner/internal enablement, community evangelism, and enforcing release quality for Android APIs and tooling; it is hybrid from Lincolnshire or another listed Zebra office.
AI-keyword evidence: ai , llm, genai
Summary
Senior Java engineering role at a distributor, building, testing, and deploying enterprise applications while conducting code reviews, tuning performance, contributing to architectural design reviews, and mentoring other developers. The expected background is seven or more years of full stack Java with the Spring framework, REST web services in a microservice environment, Git, JPA, SQL, JSON, SOAP, and XML, plus CI/CD tooling and agile methods. All positions are on-site, new hires complete a pre-employment hair follicle drug screening, and the company does not participate in the H1-B lottery.
Summary
Contract data architecture role in a consulting firm's healthcare payer practice, serving as hands-on architect and subject matter expert for CMS EDGE Server operations, ACA risk adjustment and reinsurance on behalf of health plan clients. The architect designs end-to-end EDGE Server architecture covering source system integration, ingestion, transformation, validation, reconciliation, submission readiness and error resolution, and translates CMS and HHS regulatory requirements into technical designs alongside compliance, actuarial and operations stakeholders. The posting specifies W2 hourly with no H1B, an August 2026 start, and a six-month duration with possible extension.
Summary
Senior engineering leadership inside Capital One's Global Payment Network organization, which designs, builds, and operates the payment infrastructure behind high-throughput global transaction processing. The role leads a portfolio of projects and a team of developers on distributed microservices and full stack systems, with the stated engineering focus on resiliency, scalability, observability, and modernization, and it still involves periodic hands-on coding and code review. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
Consulting data engineering in a Data and AI practice, building cloud data platforms for client organizations on Databricks, Snowflake, and Microsoft Fabric across AWS, Azure, and GCP. The work covers batch and streaming pipelines, lakehouse and cloud data warehouse architecture, ELT and ETL processes, data models, orchestration, and data quality frameworks that feed analytics, machine learning, and generative AI use cases. As a technical lead on project teams the engineer also mentors junior consultants and reviews technical deliverables across engagements.
AI-keyword evidence: ai , artificial intelligence, machine learning, gpt, generative ai
Summary
A backend software engineering role at a payments infrastructure company, building and operating the systems behind credit decisioning for merchants. The work spans end-to-end ownership across multiple languages and codebases, API design, and distributed systems at scale, alongside data scientists and strategy partners. The posting requires six years of software development experience plus a degree in a computing field, and permits 50 percent telecommuting.
Summary
A senior individual contributor cloud security engineering role, positioned explicitly a step above the existing Senior Cloud Security Engineer level as the person who sets technical direction for cloud security. The depth areas are secure architecture and threat modeling, detection engineering and incident response, and Kubernetes and platform security, across AWS, GCP, self-managed Kubernetes and self-managed data stores including MongoDB. It is a pure IC role with no direct reports, leading through standards, reference architectures, cross-team initiatives, mentorship and design review.
AI-keyword evidence: ai , ai-assisted
Summary
A mid-level technology engineer role building and maintaining full-stack applications in C#, Python and React, extending into data warehousing, analytics and cloud or infrastructure work depending on the assigned track. The posting leans on using AI tools and machine learning methods to speed development, and expects source control, CI/CD pipelines, automated testing and Agile delivery. Work falls under GxP compliance and corporate software development lifecycle standards, with a bachelor degree plus five years of relevant experience as the stated minimum.
AI-keyword evidence: ai , artificial intelligence, machine learning, generative ai
Summary
An AI and machine learning engineering role aimed specifically at finance use cases, covering traditional ML alongside generative and agentic AI for workflow automation and decision support. Responsibilities span solution architecture, selecting and integrating AWS services for data pipelines, model hosting, vector search and orchestration, MLOps for training, validation, deployment and monitoring, plus production support and mentoring junior engineers. The role also carries accountability for AI system auditability and for total project scope, budget and schedule.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A customer-facing engineering role that leads complex enterprise software deployments and architects custom cloud and Android solutions for key accounts, then feeds frontline findings back to influence internal engineering and the architecture of core products. The work spans full design and development cycles, system integration of software with hardware for consistent performance, validation and testing, and user-facing documentation. The posting requires a minimum of three days per week in either the Holtsville, New York office, which is preferred, or Lincolnshire, Illinois, with two days remote.
AI-keyword evidence: github copilot, claude code, cursor
Summary
An executive AI-platform leadership role at U.S. Bank driving enterprise AI strategy and delivery. The work is building and leading the bank's AI engineering organization, governance, cloud or Kubernetes platform direction, and responsible rollout of AI systems across business lines, with three or more in-office days per week.
AI-keyword evidence: ai , artificial intelligence, machine learning
Summary
Full-stack software engineering role building next-generation event attendee platforms for Salesforce's flagship events, spanning backend APIs and services and frontend experiences. Work includes designing scalable cloud-native backends on AWS, building micro frontend components and component libraries, and optimizing end-to-end data flows, with AI-assisted development central to the roadmap. Requires 7+ years of full-stack development in production environments.
AI-keyword evidence: github copilot, cursor
Summary
Applied AI engineering on Epiq's Operations Engineering team, building GenAI and LLM-backed features and intelligent agents that automate legal operations work rather than shipping a customer-facing product. Responsibilities include integrating models into applications through APIs and microservices, modernizing legacy automations onto MCP servers and agentic frameworks, applying prompt engineering, and taking prototypes into production. Agile delivery and ticketing run through Azure DevOps.
AI-keyword evidence: ai , llm, genai
Summary
An engineering-management role leading a Tier-2 operational-support team for FreeWheel's Buyer Cloud ad-tech platform, focused on reliability, incident response, root-cause analysis, and automation rather than net-new feature building. Requires participation in on-call rotations and night/weekend work, with 2 days onsite in Chicago.
Summary
The primary hands-on technical authority for SAP across the enterprise, responsible for architecting, building, and delivering end-to-end SAP solutions and integrations across core ERP modules and add-on platforms. Deep hands-on ABAP development is central, including custom objects, BADIs, RFCs/BAPIs, and IDocs, along with performance tuning, code reviews, and integration via SAP BTP Integration Suite and REST/SOAP APIs. The role plays a key part in multi-entity ERP consolidation and mentors functional teams and external developers.
AI-keyword evidence: ai
Summary
Senior engineering leadership inside Capital One's Global Payment Network organization, which designs, builds, and operates the payment infrastructure behind high-throughput global transaction processing. The role leads a portfolio of projects and a team of developers on distributed microservices and full stack systems, with the stated engineering focus on resiliency, scalability, observability, and modernization, and it still involves periodic hands-on coding and code review. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A data engineering role in the Data and Analytics Technology organization, building batch and streaming pipelines on Apache Spark and cloud lakehouse platforms, with Microsoft Fabric and OneLake called out as a strong plus. Day-to-day work is ETL and ELT development, data modeling and transformation logic, Spark tuning for performance and cost, schema drift management, and CI/CD plus monitoring for data workloads. The role partners with analytics engineers, BI developers and data scientists to turn raw source data into curated, analytics-ready datasets.
AI-keyword evidence: machine learning
Summary
Despite the architect title this is a Manhattan Active Warehouse Management configuration specialist role: configuring modules, developing, testing and implementing new WMS capabilities, and evaluating Manhattan release notes and upcoming functionality for assigned modules. It also covers structured requirements gathering with functional business groups, performance monitoring and capacity planning, installs and upgrades, and providing technical direction to a supporting team. The position is based at the Abbott site in Waukegan, Illinois.
Summary
Hands-on engineering manager who sets technical direction and owns planning, resourcing, and delivery of software projects while staying close enough to the code to run reviews and make technical contributions. The role combines people management, including hiring, mentoring, and performance reviews, with process and quality improvement and a push to apply AI across the development lifecycle. The posting asks for 7 or more years of engineering experience, 3 or more in a leadership role, and a background leading multi-tier web services development.
AI-keyword evidence: claude code, ai engineer
Summary
Engineering leadership role driving an AI-first transformation of Humana's clinical technology organization, including adoption of AI-assisted engineering and agentic workflows inside enterprise healthcare systems. The listed subject matter is payer-specific: Epic Tapestry, HL7 FHIR and EDI/X12 integration, Databricks and Snowflake, Medicare Advantage, HEDIS star ratings and CMS-0057 interoperability mandates. An AI center of excellence, AI governance framework and enterprise AI adoption program are named as part of the remit.
AI-keyword evidence: claude code, agentic workflow, agentic workflows
Summary
Architecture leadership for Humana CentreWell segments and platforms, shaping conceptual and reference architectures, governing solution designs, and aligning delivery teams to cloud and data strategy. The emphasis is AI enablement inside healthcare delivery, covering agentic and generative AI patterns, agent orchestration, MLOps and LLMOps, event-driven and API integration, and enterprise guardrails across multiple cloud providers. The posting aims at experienced architects who already know healthcare delivery.
AI-keyword evidence: ai , llm, openai, generative ai
Summary
Applied AI engineering role aimed squarely at IT service management, building generative AI and embedding-based capabilities on top of ServiceNow data at a health insurer. The described stack is Databricks and Azure with Python and JavaScript, vector databases, RAG architecture, agentic orchestration, model deployment on Azure Kubernetes Service, and CI/CD and API development, working alongside data engineering and business teams.
AI-keyword evidence: ai engineer, vector database
Summary
Lead engineering role in JPMorgan Chase Corporate Technology building AI and generative-AI capabilities on SAP Business Technology Platform for Finance processes including general ledger, accounts payable and receivable, asset accounting, reconciliations and financial close. The work is SAP-specific rather than general application development, covering clean-core extensibility, APIs, OData, SAP Integration Suite and SAP Business AI components such as AI Core, Generative AI Hub and Joule Skills. Hands-on SAP FI and S/4HANA Finance experience is a stated requirement alongside five or more years of software engineering and exposure to ML frameworks, MLOps and Databricks.
AI-keyword evidence: ai , ml , generative ai, genai
Summary
Full stack application engineering that turns AI and machine learning output into usable products, building Python backend services and REST APIs alongside React, Vue, or Angular front ends. Delivery is cloud-native on Google Cloud or Azure with Docker and Kubernetes, async events and managed services, working against MySQL, PostgreSQL, MongoDB, or SQL Server with schema migration tooling, and following 12-factor and microservices patterns. It asks for 4 or more years of professional full stack development experience and close collaboration with solutions architects in an agile cadence.
Summary
Note a title mismatch: the opening is listed as Application Developer III, while the work described is that of an Abrigo Configuration Engineer, the primary technical authority for a bank Abrigo and Sageworks deployment covering commercial lending, credit analysis, risk rating, BSA/AML compliance, and CECL. The role configures platform modules, designs automated workflows, decisioning rules, and approval routing, manages bidirectional API and secure-gateway integrations between Abrigo and core banking systems, and leads platform upgrades, patch deployments, and environment management across production and sandbox. It also manages a team of configuration analysts and partners with Commercial Banking, Credit Administration, and Compliance leadership, including on M&A integration work.
Summary
Client-facing consulting architecture role leading enterprise agentic AI engagements, with Google Cloud as the specialization: Gemini Enterprise Agent Platform, Vertex AI, Agent Development Kit, Agent Engine, Vertex AI Search and Vector Search, RAG, and Model Context Protocol integrations. The job pairs executive advisory work, meaning roadmaps, target architectures, and investment cases, with hands-on delivery leadership over multidisciplinary teams of software, platform, data, AI, and quality engineers. Expect cloud-native design on GKE, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, and Cloud SQL, plus setting standards for DevSecOps, CI/CD, testing, and production readiness.
AI-keyword evidence: machine learning engineer, ml engineer, ai engineer, vector database
Summary
Front-line technical support for a software vendor's products, serving as first point of contact by phone, email, chat, and remote sessions and troubleshooting installation, configuration, licensing, upgrades, and integrations. Cases are worked against SLAs with escalation to senior engineers while retaining ownership of customer communication, and the team is expected to use AI tooling to speed triage, knowledge discovery, and case summarization. This is an entry-level opening: a related degree or one or more years of technical support or help desk experience, plus basic Windows and Linux and networking fundamentals such as TCP/IP, DNS, and firewalls.
AI-keyword evidence: ai , artificial intelligence, gpt, copilot, ai-assisted
Summary
A product security engineering role in Zebra's Print and Encode business unit, embedding secure-by-design principles into the development of both hardware devices (thermal printers, barcode scanners) and their software, firmware, and cloud integrations. Responsibilities include threat modeling, enforcing a secure software development lifecycle, overseeing penetration testing and code reviews, and leading remediation of product security vulnerabilities. The position is hybrid, requiring a minimum of three days a week onsite in Lincolnshire, IL.
AI-keyword evidence: ai
Summary
A research software engineer developing robust, reusable software for the Data Science Institute's data-for-social-good initiatives spanning food systems, climate, and human rights. Work covers designing, developing, testing, and maintaining complex software and APIs, implementing algorithms for data-intensive research, and deploying to cloud and physical hardware in collaboration with interdisciplinary research groups. Strong Linux and Python plus 5 to 7 years of experience are expected, with a partial remote arrangement available.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm, ai-assisted
Summary
A senior software development role building and supporting enterprise insurance applications on the Microsoft .NET stack, contributing to TransUnion's Telematics platform and related insurance products. Work involves designing scalable applications with C#, integrating internal and external systems, troubleshooting production issues, and maintaining CI/CD and automated testing within an Agile Scrum team. This is a remote position with occasional in-person attendance.
Summary
A senior cybersecurity threat-response engineer at T-Mobile (Bellevue WA, Overland Park KS, or Downers Grove IL) analyzing security alerts, incidents, and threat intelligence and leading incident response from detection through recovery, including serving as Incident Commander. A blue-team incident-response engineering role.
AI-keyword evidence: artificial intelligence
Summary
A data and analytics engineering role focused on designing data-driven AI solutions using ML, AI, and GenAI in an investment/asset management context. The role blends data architecture (relational and NoSQL stores, ontology and taxonomy design), technical proofs of concept, and stakeholder management. Experience with systems analysis and application development is expected.
AI-keyword evidence: ai , genai
Summary
A software engineering role on Motorola's RF Site Software Engineering team within the ASTRO Networks segment, designing, implementing, and testing solutions for land-mobile wireless communications products built on a virtualized Linux platform. The role works within a Scrum team using CI/CD and DevOps practices, provides technical leadership across the development lifecycle, and involves hands-on work with product hardware and lab equipment.
Summary
Staff software engineering role on CME Group's real-time positions and risk-management systems, leading development of high-volume, low-latency Java applications on Google Cloud while driving the team's shift toward an agentic engineering workflow built around LLM coding tools. Responsibilities include building shared agent infrastructure (context repositories, MCP integration, codebase indexing) and the evaluation harnesses and CI/CD guardrails that validate AI-generated code for concurrency and performance issues, all under strict low-latency and zero-downtime constraints. Also mentors traditional developers into AI-native engineers.
AI-keyword evidence: claude code, cursor
Summary
A QA-focused software engineering role (Software Engineer in Test) on the team that builds and supports Cboe's US clearing systems for financial markets. The work centers on ensuring release stability, testability, and overall system health for clearing-platform functionality, working alongside engineering and product teams. Note the position follows a four-day-per-week in-office model.
AI-keyword evidence: claude code
Summary
Backend software engineering role on Cars Commerce's Dealer Inspire websites and vehicle-inventory team, enhancing and building scalable, secure API-based backend services that power the platform, plus mentoring junior engineers. Remote, but candidates must be located in the Chicago area and onsite interviews may be required.
AI-keyword evidence: ai
Summary
Despite the software-engineering title, this is a senior technical leadership role over medical-device product software across Baxter's global portfolio, heavy on cybersecurity, device connectivity, and regulatory compliance. It expects 12+ years of experience, deep knowledge of embedded ARM Cortex/STM32 and RTOS (FreeRTOS), and familiarity with FDA design control (CFR 820.30), ISO 13485/14971, and tools like Coverity, with the mission framed around patient safety.
Summary
A platform-engineering role building and operating Allstate's GenAI cloud platforms and the self-service tools that let internal developers build and deploy AI applications. Time is split evenly between operational platform maintenance and customer requests and engineering new automation, using continuous-delivery pipelines, infrastructure-as-code, and Terraform. The team stresses paired programming, test-driven development, and open-source-focused integration.
AI-keyword evidence: ai engineer
Summary
A platform-engineering role owning and operating Allstate's cloud application and GenAI hosting platforms, split roughly evenly between operational platform maintenance and building automation to streamline it. It carries a strong internal solutions-consulting dimension: delivering product briefings, building demos, running proofs-of-concept, and advising product teams on GenAI strategy across Azure, AWS, and Google Vertex AI. The team emphasizes paired programming, test-driven development, and infrastructure-as-code with Terraform.
AI-keyword evidence: ai , llm, openai, generative ai, genai
Summary
Staff ServiceNow developer and platform engineer on ServiceNow's Platform Expert Team, focused on the performance, scalability, and reliability of mission-critical ServiceNow and enterprise platforms. Responsibilities include architecture and custom development, technical reviews and platform audits, performance tuning and real-time monitoring, and consultative guidance on capacity planning for peer engineering teams. Requires eight-plus years in enterprise IT with hands-on ServiceNow platform engineering and development experience.
AI-keyword evidence: fine-tune
Summary
Backend-focused software engineering role designing, developing, and maintaining the company's platform and services, with independent creation of Java services using Spring Boot and AWS. Responsibilities span RESTful APIs and microservices, ETL and data pipeline development, unit and integration testing, CI/CD, and containerization with Docker and Kubernetes, alongside code review and mentoring. A background in fintech, enterprise SaaS, or other regulated technology environments is preferred.
Summary
Database engineering embedded in an architecture team, reviewing SQL and stored procedure changes coming from application teams, assessing their performance, reliability and downstream impact, and speeding up triage of database-related production incidents. The core stack is SQL Server with AWS EC2 and RDS, and forward work is named as monitoring improvements, disaster recovery planning, SQL upgrades, database migrations and SQL release pipeline work. Experience translating Microsoft database practice into AWS environments and monitoring tooling such as Datadog are listed as advantages.
Summary
Senior full-stack development role on airline technology applications, designing and maintaining cloud-based systems and leading technical teams. The stack covers .NET Framework and .NET Core with React on the front end, microservices and backend APIs, SQL and NoSQL data stores and AWS, delivered in an Agile model that includes cloud migration work.
Summary
Enterprise architecture role setting and enforcing architecture standards across the airline's Tech Ops technology organization. Responsibilities include technical design oversight, data architecture and integration, security practices and automation, with work touching Java and .NET applications, relational databases, AWS and hybrid cloud infrastructure, and MRO system implementation.
Summary
A senior test-automation and infrastructure engineering role designing and maintaining scalable automation frameworks and CI/CD pipelines across distributed applications, APIs, and telecommunications platforms. It covers functional, integration, regression, and performance testing plus load and stress testing, using languages such as Ruby, Java, C#/.NET, or Python with Jenkins, Docker, and Kubernetes. The role includes technical leadership and mentoring within the QA organization.
AI-keyword evidence: ai
Summary
Full-stack engineering role on the team behind Snapsheet's end-to-end insurance claims and virtual vehicle appraisal platform, focused on modernizing and upgrading legacy Ruby on Rails applications and reducing technical debt. Work includes schema design, performant SQL, and AWS infrastructure across a stack of Rails, React, MySQL, Redis, and Elasticsearch. Fully remote.
Summary
This role builds and maintains modeling-and-simulation and AI solutions that support data and statistical sciences within pharmaceutical development. The developer chooses the right approach for each use case, from R packages and interactive dashboards to LLM-powered agentic workflows, and maintains benchmark test sets for output quality and reproducibility. It calls for strong hands-on R development, agentic AI experience, and familiarity with clinical development and trial-design concepts.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Site-reliability/application-operations lead role owning the operational lifecycle of enterprise applications - production reliability, SLOs and error budgets, major incident response, release and change management, and observability, partnering with Cloud Operations and Security. Emphasizes application runtime health and operational workflows over feature development, with DevSecOps and CI/CD as supporting elements.
AI-keyword evidence: ai
Summary
An infrastructure engineering role administering, automating, and modernizing enterprise job-scheduling and workflow-orchestration platforms such as Autosys and Airflow that run critical business processes. It combines Linux production administration (patching, tuning, vulnerability remediation, certificate management) with automation development in Python, Go, and shell, plus workflow design and production incident response. Requires at least 7 years of experience and touches Infrastructure-as-Code, cloud, and CI/CD.
Summary
An emerging-technology solutions architecture role evaluating AI-driven tools for enterprise adoption at U.S. Bank. The work assesses GitHub Copilot, Cursor, MCP gateways, Azure OpenAI, AWS AI/ML services and LLM integration patterns, then turns findings into reusable architecture patterns for engineering teams.
AI-keyword evidence: github copilot, cursor
Summary
A software engineering role in Motorola's Secure Products Group, developing and maintaining software for the security solutions that protect Motorola and customer devices. Skills span C/C++, Linux and Windows development, Python/Perl/PowerShell, Java, and network protocols such as TCP/IP and TLS, with embedded, mobile, driver, and security concepts like authentication, access control, and cryptography as desirable. It calls for 1 to 2 years of embedded systems experience.
AI-keyword evidence: ai , llm
Summary
A performance and quality test engineering role within Motorola's Critical Communications Networks organization, developing and executing performance test plans and cases for the next-generation ASTRO mission-critical communications system. The work involves analyzing test results to find bottlenecks, configuring and building test infrastructure and emulation, collaborating with developers to resolve performance defects, and scripting in Python, Perl, or Bash.
Summary
A principal software engineer on Comcast FreeWheel's Ad Tech and Distributed Systems, leading reliability, performance, and operational excellence across the platforms. The role designs, operates, and troubleshoots large-scale distributed systems and owns monitoring, incident response, change management, and capacity planning, working with limited supervision. It leans SRE/principal-IC and suits an engineer deep in distributed systems and production reliability.
Summary
Senior Linux platform engineering role (posted under an external title but internally a Senior Linux Engineer) managing and improving highly automated Linux-based systems that underpin a financial-exchange operator's infrastructure. Work spans designing on-premises Kubernetes clusters, developing system-level software, middleware, and APIs, automating with Python, Bash, and SaltStack, building RPM packages, and implementing hardened security configurations. Includes an on-call rotation and follows a four-day in-office work model.
Summary
A full-stack software engineering leadership role at Capital One leading a portfolio of technology projects and a team of developers building cloud-based solutions that help meet the company's regulatory needs. The stack includes JavaScript, Java, TypeScript, SQL, Python, and Go with Docker, Kubernetes, and AWS. Requires a bachelor's degree with 6+ years of software engineering and 1+ year of cloud; the listed Chicago salary is 209,000 to 238,500 and sponsorship may be considered.
AI-keyword evidence: ai , ai tooling
Summary
Product management leadership over Capital One's marketing technology platforms within the Enterprise Consumer Product organization, owning the vision, roadmap, and in-market performance of existing enterprise-scale martech systems. The team is accountable for billions of servicing and marketing customer touchpoints per month and works with the lines of business to turn their needs into platform capability. It asks for at least 7 years of product management experience, and Capital One states it will not sponsor employment authorization for this position.
Summary
A management-track software engineering role leading a team of full-stack developers within Capital One's Global Payment Network, specifically the Pulse debit-card network that handles authorizations, fraud detection, settlement, and back-office processing. The position blends people leadership with hands-on architecture of highly available, cloud-based payment systems, and includes occasional coding and code review. It calls for substantial prior people-management experience alongside a deep engineering background.
AI-keyword evidence: ai , ai tooling
Summary
A lead data engineering role at Capital One building cloud-based data solutions alongside teams working in machine learning, distributed microservices, and full-stack systems. The stack includes Java, Scala, and Python with RDBMS and NoSQL databases and warehousing on Redshift and Snowflake. Requires a bachelor's degree with at least 4 years of application development, 2 years in big data, and 1 year of cloud; note that this position does not offer visa or immigration sponsorship. Based in Chicago.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A Python- and AWS-focused lead data engineering role at Capital One building cloud-based data solutions with teams working in machine learning, distributed microservices, and full-stack systems, using Java, Scala, and Python with Redshift and Snowflake warehousing. Requires a bachelor's degree with at least 4 years of application development, 2 years in big data, and 1 year of cloud computing. This position does not offer immigration sponsorship; based in Chicago.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A hands-on, principal-level engineering leadership role serving as technical lead for Capital One's Customer Management engineering organization, spanning foundational platforms and the SRE, data, and operations teams across the credit card customer lifecycle. The role sets the technical agenda for real-time credit decisioning and offers, arms teams with GenAI tooling and experimentation frameworks, and involves leading over 100 engineers while still coding and operating systems directly. It is explicitly described as not a pure architecture role.
AI-keyword evidence: machine learning, genai
Summary
A senior DevOps and infrastructure engineering role at fintech M1 Finance building and operating the AWS foundation, EKS Kubernetes clusters, and Terraform-based infrastructure behind the platform. Work covers network architecture and hybrid/on-prem connectivity, observability, CI/CD and GitOps automation (CircleCI, Flux), secrets management, and shared on-call with an SRE mindset. Regulated-environment experience such as ISO 27001 or SOC 2 is a welcome plus.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Consulting role leading the design and implementation of enterprise identity and access management strategy for client organizations across cloud and hybrid environments. The posting covers IAM and zero trust architecture, identity lifecycle and governance, privileged access management, and federation standards including OAuth2, OIDC, SAML, and SCIM, with vendor platforms such as Entra ID, SailPoint, Saviynt, CyberArk, Ping Identity, and Okta.
Summary
Consulting role designing and implementing identity and access management solutions for clients across cloud and hybrid environments. The posting emphasizes authentication and federation standards, identity governance, access reviews and credential provisioning, security assessment and control evaluation against NIST, ISO, and CIS, and integration work with platforms such as Entra ID, SailPoint, Saviynt, CyberArk, Ping Identity, and Okta.
Summary
A graduate FPGA engineering role building high-speed hardware designs to accelerate trading systems and network infrastructure at a low-latency proprietary trading firm. The work involves writing HDL (VHDL, Verilog, or SystemVerilog) for FPGA/ASIC digital designs and researching low-latency techniques alongside traders and software developers. It targets Computer or Electrical Engineering students graduating between December 2026 and June 2027, and supports US visa sponsorship.
AI-keyword evidence: ai
Summary
A data engineering role owning the pipelines that move and transform data from application and third-party sources into relational databases, plus the production AI/ML systems and infrastructure those features run on. A distinctive emphasis is treating evaluation as engineering: building eval harnesses, test datasets, and production monitoring for AI features rather than one-off analyses. The environment uses a modern stack including Snowflake, Postgres, Airflow-style orchestration, and GCP or AWS.
AI-keyword evidence: claude code, cursor
Summary
A data engineering role building and optimizing data pipeline architecture and tooling for a team of analytics and machine learning specialists. The engineer assembles large data sets, builds ETL infrastructure using SQL, Python, and AWS, and extends the company's machine learning platform. The role also includes supervising and mentoring junior data engineers.
AI-keyword evidence: machine learning
Summary
Leads infrastructure automation for the FCC/DXG service delivery and operations group, building cloud infrastructure as code and CI/CD pipelines across multiple environments and pushing workloads toward container and serverless architectures. The role mentors a team of DevOps engineers, applies SRE practices around resilience, capacity planning and incident management, and resolves production incidents with root cause analysis. On-call rotation within the service delivery and operations team is required.
AI-keyword evidence: ai
Summary
An enterprise architecture role at Wintrust, a community and commercial bank, contributing to system, data, and application architecture and helping build out the firm's enterprise architecture function. The position expects obtaining TOGAF and ArchiMate credentials if not already held, authoring architectural standards and advisories, and supporting the Architecture Review Board. It blends technical architecture work with heavy cross-functional stakeholder collaboration.
Summary
A hands-on application support and development role for business-critical applications, combining Level 2 and Level 3 production support with development using Java, Spring/Spring Boot, and SQL. The engineer performs root-cause analysis, delivers code fixes and enhancements, and troubleshoots issues across the application, database, and integration layers in a financial-services environment.
Summary
A senior identity and workforce security engineering lead designing authentication and access-management solutions on Zero Trust and least-privilege principles. The role requires deep hands-on expertise with Entra ID, Okta, PingFederate, and Azure/AWS security, plus application-security work securing Java microservices, React frontends, and mobile apps (OAuth/OIDC, SAML, MFA, JWT, TLS, API security). Strong threat-modeling and consultative skills are expected.
AI-keyword evidence: ai
Summary
Application architecture role at a regional bank, owning the application roadmap and modernization direction and producing solution approaches, architecture recommendations, and high-level estimates. The architect guides teams on application design, integration patterns, and API development, leads architecture reviews, and documents technical debt, risks, and dependencies while aligning designs with enterprise security and compliance standards. The posting asks for seven or more years in solution architecture or financial services technology and lists the workplace type as office.
AI-keyword evidence: ai
Summary
Distinguished Engineer role within Capital One's Card Core Accounts and Transactions organization, a top-level individual-contributor technical authority architecting the target-state application architecture for highly available, scalable customer-facing services during a platform transformation off legacy systems. It leads through technical contribution, setting technical vision, ensuring design and implementation quality, and supporting development teams, with mentorship and recruiting responsibilities. Focus on performance, scalability, security, maintainability, and operability.
AI-keyword evidence: machine learning
Summary
Distinguished Engineer role serving as a top-level individual-contributor technical authority within Capital One's card technology organization, architecting the target-state application architecture for highly available, scalable customer-facing services amid a migration from legacy systems to a modern cloud stack. The position leads through technical contribution, setting technical vision, ensuring design quality, and advising development teams, while mentoring and helping recruit engineering talent. Emphasis on non-functional characteristics such as performance, scalability, security, and operability.
AI-keyword evidence: machine learning
Summary
Developer role at United Airlines working on crew solver technology, designing, developing and maintaining scalable applications that support core operational functions. The role involves collaborating with cross-functional teams, applying security best practices and contributing to software documentation, and it spans a broad toolset: C++, Java, C# and .NET, SQL and Oracle databases, Angular and front-end web technologies, Couchbase, and both Azure and AWS.
Summary
Though titled a solution architect, this is a Workday HRIS configuration and optimization role at a bank, configuring Workday modules (payroll, absence, time tracking, HCM core, recruiting, talent, learning) and improving HR business processes. The work is stakeholder-facing HR technology rather than general software engineering, with Oracle HCM Cloud exposure. It centers on HRIS administration, business analysis, and process improvement.
Summary
A senior data engineering role designing and optimizing the company's data pipeline architecture and machine learning platform for an analytics and ML team. Responsibilities include building ETL infrastructure with SQL, Python, and AWS, working with message queuing and stream processing, and mentoring and supervising junior engineers. Roughly five-plus years of data engineering experience is expected.
AI-keyword evidence: machine learning
Summary
This role designs and operates CI/CD pipelines and full-stack applications to support software delivery in a regulated pharmaceutical environment. The work spans backend and frontend development, toolchain standardization, containerization and infrastructure as code, and integrating AI-assisted and agentic development capabilities while maintaining traceability and validation. It requires experience with cloud CI/CD, DevOps toolchains, Docker and Kubernetes, and AI-assisted development tools.
AI-keyword evidence: github copilot, claude code
Summary
Despite the device-engineer title, this is an embedded and desktop software role supporting medical-device products through their production and end-of-life lifecycle. The engineer designs and supports embedded, Windows-embedded, and desktop applications in C# and .NET, integrates and debugs software with hardware components, and works within a cross-functional team of electrical, software, and mechanical engineers. Work must comply with FDA Quality System Regulation, ISO 13485, and other medical-device standards, and prior experience in a regulated software environment is required.
Summary
A full-stack software engineering role focused on building internal tools and AI-powered applications that make Salesforce's Solutions Engineering, Sales, and Marketing (go-to-market) teams more effective, from prototyping through deployment and maintenance. The work centers on AI-native development, using AI coding assistants such as Claude Code as a core part of the daily workflow, and calls for 2 to 6+ years of experience shipping full-stack applications.
AI-keyword evidence: github copilot, claude code, cursor
Summary
Solution architect designing and building data and AI business solutions for Northern Trust Asset Management, centered on Snowflake on Azure. The role spans data modeling (dimensional, Data Vault, star), database design, and production AI tooling, and expects the architect to lead proofs of concept and evangelize the data/AI strategy across stakeholders. Investment- or asset-management domain experience is recommended; on-site in Chicago.
AI-keyword evidence: ai , genai
Summary
Senior solutions architect in Motorola Solutions' Software Practice Office, deploying and integrating software systems for public-safety customers. Requires hands-on experience with virtualization (VMware ESXi, RedHat OpenShift), Windows Server and SQL Server, networking (Fortinet firewalls, F5 load balancers), and hybrid cloud/on-prem deployment. Must be a U.S. citizen able to obtain a security clearance and pass a CJIS fingerprint background check; 10-25% travel.
Summary
Site reliability engineering providing production support for mainframe applications, APIs, and microservices at a bank, troubleshooting incidents, batch failures, and integration problems. Strong emphasis on mainframe technologies (z/OS, CICS, DB2, COBOL, JCL) alongside API modernization, observability, and automation. The employer will not sponsor work visas for this position.
Summary
A software engineering role developing and maintaining rule-based applications and decision services, with a focus on IBM Operational Decision Manager and legacy ILOG JRules migration and modernization. Work includes analyzing and cleaning up rule repositories, building BOM/XOM decision models, and writing testable Java code, in close collaboration with product, QA, and architecture stakeholders. It is a specialized decision-automation development role rather than general application engineering.
AI-keyword evidence: ai , generative ai
Summary
A senior lead full-stack software engineering position at Capital One, leading technology projects and a developer team to deliver cloud-based, distributed-microservice solutions that help meet regulatory needs. Responsibilities span full-stack development, container orchestration, and AWS, plus mentoring and occasional coding. Capital One states it will consider sponsoring employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering role at Capital One, leading a portfolio of technology projects and a developer team to build cloud-based solutions supporting regulatory needs. The work covers distributed microservices, full-stack development, container orchestration, and AWS, with mentoring responsibilities. Capital One will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A Tier 3 escalation and technical-support engineering role, the final point of escalation for complex, high-impact customer issues rather than a product-development position. The engineer performs deep root-cause analysis, drives issues to resolution, files bug reports with Product and Engineering, and mentors Tier 1 and Tier 2 staff, producing RCA documentation and knowledge-base articles. Remote in the United States or Canada.
Summary
A software engineering role building analytical tools, dashboards, and data pipelines that help risk managers at a trading firm understand portfolio exposures, stress scenarios, and capital usage. The work involves partnering directly with risk managers to move ideas into production systems using Java and/or Python, and taking projects from concept through production deployment. An interest in financial markets and risk management is expected.
Summary
An AI/ML engineering role building the model layer for a trading firm's centralized AI function — fine-tuning and distilling open-weight models (Llama, Qwen, Mistral), operating on-prem inference infrastructure (vLLM, TGI) on Kubernetes, and building a model gateway that routes across open and closed providers with cost, latency, and quality tracking. Requires strong Python, production fine-tuning or distillation experience, and GPU infrastructure management.
AI-keyword evidence: fine-tune, ai engineer
Summary
Hands-on technical lead on the Labs team at a retail data science company, working at the intersection of classical optimization and modern machine learning to build hybrid systems such as ML-guided search, learned warm starts, neural network surrogate models and AI-augmented constraint formulations. The role contributes code daily, serves as a primary expert on optimization problem formulations, solver selection and performance benchmarking, architects MLOps pipelines for experimentation, deployment and monitoring, and mentors engineers and researchers as solutions scale into production across Kroger. Deep optimization foundations are treated as a prerequisite rather than a generalist machine learning background, and the company follows a five-day in-office schedule.
AI-keyword evidence: ml engineer
Summary
Graduate-hire C++ development role at a Chicago proprietary trading firm, working across all aspects of a high-frequency trading system: implementing, testing and deploying trading system features and tools, monitoring low-latency performance and market data resource utilization, and diagnosing and fixing issues alongside traders and senior developers. Candidates must be completing a bachelor's, master's or PhD in computer science, engineering or a related field and graduating in 2027 by August of that year, with at least one prior industry internship in C++. The position is based at the firm's Chicago headquarters.
Summary
A customer-embedded full-stack software engineering role at a commercial-insurance AI company, blending software engineering, product strategy, and technical consulting. Builds core SaaS features across the stack with TypeScript, React, and Next.js while identifying patterns in strategic customers' needs to turn into platform features. Requires strong commercial P&C insurance and underwriting-lifecycle domain knowledge and 10+ years of full-stack or front-end experience.
AI-keyword evidence: ai
Summary
A Python developer and solutions architect on U.S. Bank's Credit Model Ops Orchestration and Solutions team, building a next-generation model-production platform that supports credit-risk models, analytics, and reporting. The stack connects Pandas/Polars, FastAPI, Docker, and Kubernetes, and the role asks for eight-plus years of relevant experience. Best for a data-minded Python developer who likes integrating technologies into cohesive systems in a risk setting.
Summary
Senior software engineer driving Uline's move to an always-on microservices architecture on RedHat OpenShift, building cloud-native Java/Spring Boot services and the observability and CI/CD around them (DynaTrace, Grafana, Tekton, Argo CD). Expects 10+ years of Java/SQL, 5+ years of Spring microservices and 2+ years on Kubernetes/OpenShift. On-site at the Wisconsin headquarters, with no H-1B sponsorship.
Summary
Software engineering role at Salesforce as a Forward Deployed Engineer building and deploying agentic AI solutions directly inside enterprise customer environments, writing real code across configuration, customization, and full-stack deployment and building data pipelines and agent dashboards on platforms like Snowflake and Databricks. Assessed for Global Public Sector (government, nonprofit, and education) teams; production experience is required and locations range from onsite to remote.
AI-keyword evidence: cursor
Summary
A data and BI engineering role at architect level designing and building end-to-end data integration pipelines that deliver enterprise BI data marts and a semantic layer, working across Teradata, Hadoop, Databricks, and Azure with Power BI. It is hands-on pipeline development in PySpark, Python, and SQL plus managing multiple projects, within the healthcare sector. Hybrid in Chicago, IL or Richardson, TX; no relocation, and visa sponsorship is not offered.
AI-keyword evidence: copilot
Summary
A senior lead full-stack software engineering role within Capital One's Enterprise Platforms Technology group, leading a portfolio of projects and a team of developers to build cloud-based solutions supporting regulatory needs. The work includes distributed microservices, full-stack development, container orchestration, and AWS, along with mentoring. Capital One indicates it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior lead engineer role building native iOS client applications for Capital One's mobile platform and providing SME-level technical leadership for a mobile team. The work includes delivering customer-facing features, partnering with UX, quality, and product teams, reviewing pull requests, mentoring engineers, and leading technical development. It is a hands-on iOS development and leadership position within Agile teams.
AI-keyword evidence: ai , ai tooling
Summary
A senior engineering role on the Evaluation Services team behind funded-trader programs, serving as the primary technical point of contact for partners integrating with NinjaTrader's APIs. The work is partner-facing and integration-focused, advising on authentication, endpoints, data models, and architecture, debugging complex integrations, and conducting code reviews of partner implementations alongside Technical Account Managers. Chicago or remote.
Summary
A software engineering role designing and building high-performance real-time streaming systems that ingest, process, and distribute large volumes of market data with very low latency for trader-facing applications. The work uses C++ and Rust in low-latency, high-throughput environments, emphasizing concurrency, memory management, and lock-free designs, and includes supporting and debugging systems under real-time production load at a trading firm.
Summary
A technical trading-operations and systems role supporting DRW's Prediction Markets desk, acting as process owner for traders' risk-management and trade-capture tools and improving them alongside the technology team. Day-to-day work includes trade and position reconciliation with clearing houses and counterparties, daily P&L calculation and substantiation, and operational support, backed by Python, SQL, Git, and Linux. Working knowledge of options/derivatives and prediction markets is expected.
Summary
A Senior Full-Stack Engineer (AI & Automation) at Upside (Chicago) scaling the technology behind Consumer Operations - building AI-powered workflows that automate support tasks and improve chatbot experiences, plus integrations across Zendesk, Retool, and Slack. It is hands-on backend and automation work in Python, strong SQL, and JavaScript/TypeScript, leveraging LLM platforms (OpenAI, Claude), wanting 5-8 years. A fit for a pragmatic full-stack engineer who likes applying AI to real operational problems.
AI-keyword evidence: ai , llm, openai, claude, ai-assisted
Summary
This is a data-engineering role at a pharmaceutical company, designing and deploying secure data architectures on AWS using services such as EMR, Spark, Glue, and Snowflake. The work includes building batch and streaming pipelines, CI/CD automation, data-governance standards, and Generative AI applications using LangChain, RAG, and agent-based approaches. It is a hybrid position with three days a week in the office and requires several years of data-engineering experience.
AI-keyword evidence: ai , generative ai
Summary
This role builds and deploys enterprise AI-powered applications within a pharmaceutical company's business technology group, translating business workflow needs into scalable AI-enabled solutions. Responsibilities blend hands-on delivery with business-analysis duties: coordinating Jira-based Agile delivery, defining quality and validation standards for AI-generated outputs, documenting requirements, and supporting IT audits and compliance. It calls for hands-on experience with large language models, agentic AI, and prompt engineering in a governance-aligned setting.
AI-keyword evidence: ai , artificial intelligence
Summary
Despite the engineer title, this is an IT governance and regulatory-compliance role that manages the controls and evidence for a pharmaceutical company's software development lifecycle, not a software-development or QA position. The person designs and automates IT control evidence within CI/CD pipelines and toolchains such as Jira, GitHub, JFrog, qTest, and ServiceNow, maintains digital traceability, and prepares for audits and inspections under GAMP and FDA CSA guidance. It suits a compliance professional who is fluent in how modern engineering tooling works and can translate between governance stakeholders and engineering teams.
AI-keyword evidence: ai , ai tooling
Summary
Mainframe software engineer developing U.S. Bank's Hogan API application, building channel front-end API access to the Hogan Customer Information System, ODS and PAS platforms. The work spans Cobol and JSON alongside modern tooling — ISTIO Gateway, Kubernetes, Postgres, Datadog — with PCI/PAN compliance and vulnerability resolution. Writes production-ready code and collaborates with business partners on requirements and technical specs.
Summary
An IT and analytical liaison to Uline's Finance team, managing daily technology processes and building automation and efficiencies to support business decisions. The analyst investigates and resolves user issues and maintains and tests department system software, requiring SQL and VBA experience with Power BI a plus. The role is fully onsite at the Pleasant Prairie, WI corporate headquarters and involves a pre-employment hair-follicle drug screen.
Summary
Lead software engineer for Northern Trust's Client Onboarding & Lifecycle Management (CLM) portfolio, providing hands-on technical leadership across design, development and delivery. Requires 5+ years of full-stack Java/JEE with Spring Boot, REST/microservices, Oracle/SQL and Elasticsearch, plus CI/CD, Agile and Azure DevOps. On-site in Chicago, mentoring the team and driving engineering standards.
Summary
Full-stack engineering lead building and maintaining anti-money-laundering and fraud-detection applications on the NICE Actimize platform for a bank. Combines Java and microservices development with Actimize-specific customization (ActOne, AIS ETL) and serves as third-level production support. Heavy emphasis on required Actimize experience and financial-crime application work.
Summary
A senior engineering-management role at Chamberlain Group leading multiple front-end software teams building the iOS, Android, and web clients for the myQ intelligent-access platform. The player-coach position combines people management, architectural standard-setting across client, middleware, and back-end boundaries, and 18-to-24-month project forecasting, while personally driving technical direction when needed. It includes participating in an on-call rotation to support production reliability and reports to the Director of Software Engineering.
Summary
A senior lead full-stack software engineering role at Capital One, leading a portfolio of technology projects and a team of developers to build cloud-based solutions supporting regulatory needs. The work covers distributed microservices, full-stack development, container orchestration, and AWS, with occasional hands-on coding and mentoring. Capital One indicates it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A lead data-engineering role at Capital One, collaborating across Agile teams to design, build, and support cloud-based data and full-stack solutions involving machine learning, distributed microservices, and streaming data. Tools span big-data frameworks, NoSQL and relational databases, and Redshift or Snowflake warehousing. Capital One will not sponsor employment authorization or provide immigration support for this position.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A machine-learning engineering role spanning the full ML lifecycle — data exploration, feature engineering, model building, deployment, and monitoring — hired across entry, mid, and senior levels on Allstate's technology team. The core stack is Python (pandas, numpy, scikit-learn) with XGBoost/LightGBM required and PyTorch/TensorFlow a plus, and the team emphasizes pair programming and test-driven development. Remote (Illinois).
AI-keyword evidence: machine learning engineer, production ml
Summary
Engineering leadership role at Castify, the company behind Screencastify, a screen recorder that grew into a multi-product AI-focused platform used primarily in K-12 education and now expanding to other organizations. The position leads the engineering organization across multiple product areas, partners with product and go-to-market leadership on technical strategy and roadmap, and owns architecture, delivery, testing and reliability. Candidates are expected to be hands-on leaders comfortable in architecture and code-level discussions, with startup experience and a track record of driving AI-assisted engineering workflows across teams.
AI-keyword evidence: ai , ai-assisted
Summary
A software engineering internship supporting the development of C++-based trading applications and tools at a proprietary trading firm, with hands-on projects and regular sessions with senior engineers. It targets current CS or CE students at junior standing or above (graduating December 2027 or May 2028) comfortable with one or more of C++, Python, or TypeScript. The internship is onsite in Chicago with a fixed June 1, 2027 start date and includes corporate housing.
Summary
A senior engineering role building high-performance, data-dense GUI applications that stream real-time market data to traders. The work focuses on low-level rendering and graphics pipelines using React with WebAssembly, WebGPU, or WebGL, optimizing tick-to-screen latency under heavy data loads. Includes shaping technical direction and mentoring on GUI best practices at a proprietary trading firm.
Summary
A backend engineering role building and scaling microservices that power consumer financial products and real-time payments. The work centers on designing APIs that securely connect to payment processors, banks, and fintech partners, and on building event-driven, ledger-like systems for transactions and reconciliation where data integrity, security, and performance are critical. Familiarity with payments compliance standards such as SOC 2, PCI DSS, and GDPR is valued.
AI-keyword evidence: ai
Summary
A senior backend software engineering role in fintech, building and refactoring systems for a lending and banking business across areas such as customer communication, identity, decisioning/underwriting, and portfolio management. The primary stack is Ruby on Rails with relational data modeling, and SQL, frontend, or DevOps experience is a plus. Listed as a remote position based in Kyiv, Ukraine.
Summary
An enterprise applications role centered on Oracle Agile PLM, leading the design, implementation, configuration, and optimization of Product Lifecycle Management for Zebra Technologies. Responsibilities include complex configuration and access control, building reports with query tools, managing system upgrades and testing, and designing extensions and tailored solutions with data security built in. It works closely with business stakeholders, engineering, and cross-functional IT, and requires deep Oracle Agile PLM experience.
AI-keyword evidence: ai , artificial intelligence
Summary
A senior leadership role heading Forward Deployed Engineering for Salesforce's Tech, Media and Telecommunications unit, building and running a team of Builders who turn pre-sales prototypes into production Agentforce agents on real customer data. The mandate blends technical delivery with commercial accountability for adoption, consumption, and expansion, and requires a decade in enterprise software plus a record of deploying AI/LLM solutions at scale.
AI-keyword evidence: cursor
Summary
A lead analytics engineering role building enterprise BI data marts and semantic data layers for HCSC. The work includes end-to-end data integration pipelines, Teradata/MPP platforms, Hadoop, Azure Cloud, Azure Databricks, SQL, Spark, Scala/Python, Azure Synapse/ADLS/ADF, DevOps, scheduling tools, and technical leadership across analytics projects.
AI-keyword evidence: github copilot
Summary
This is application development for conversational AI and voice self-service, building and configuring conversational IVRs on Genesys with Java, VXML, and backend microservices integration across text, chat, and voice channels. It runs on a hybrid schedule and requires a graduate degree plus conversational AI/IVR development experience.
AI-keyword evidence: ai
Summary
A lead data-engineering role on Capital One's Enterprise Consumer Products (EPTech) team, which works on customer experiences and the platforms behind them. Responsibilities include designing, developing, testing, and supporting cloud-based data solutions using big-data, streaming, NoSQL, and data-warehousing technologies, and mentoring fellow engineers. The posting notes Capital One will not sponsor employment authorization for this position.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A lead full-stack software engineering role on Capital One's Enterprise Consumer Products (EPTech) team, leading technology projects and a developer team to deliver cloud-based solutions supporting regulatory needs. The work spans distributed microservices, full-stack development, container orchestration, and AWS, along with mentoring. Capital One states it will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering role at Capital One with a GoLang focus, leading a portfolio of projects and a team of developers building cloud-based solutions that support regulatory needs. The work includes distributed microservices, container orchestration, open-source databases, and AWS, along with mentoring. Capital One states it will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering position at Capital One emphasizing GoLang, leading technology projects and a developer team to deliver cloud-based, distributed-microservice solutions that help meet regulatory needs. Responsibilities include full-stack development, container orchestration, and AWS, plus mentoring engineers. The posting notes Capital One will not sponsor employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A lead engineer role building native iOS client applications for Capital One's mobile platform, delivering customer-facing features that follow established engineering and design standards. Responsibilities include collaborating with software, UX, quality, and product teams, reviewing pull requests, mentoring team members, and keeping current with mobile development. It is a hands-on iOS development position within small Agile teams.
AI-keyword evidence: ai , ai tooling
Summary
A lead engineer role developing native Android client applications for Capital One's mobile platform, delivering customer-facing features in line with product strategy and engineering best practices. The work includes partnering with UX, quality, and product teams, reviewing pull requests, mentoring mid-level engineers, and staying current with mobile technologies. It is hands-on native Android development within small Agile teams.
AI-keyword evidence: ai , ai tooling
Summary
A senior engineering-management role leading a team of iOS mobile developers on Capital One's mobile platform. The position blends people management with hands-on iOS engineering, including delivering customer-facing features, partnering with UX, quality, and product teams, reviewing pull requests, and mentoring engineers. It requires substantial people-management experience alongside iOS development expertise.
AI-keyword evidence: ai , ai tooling
Summary
A lead data-engineering role at Capital One focused on building and supporting cloud-based data solutions alongside Agile teams working in machine learning and distributed microservices. The work uses big-data, streaming, NoSQL, and data-warehousing technologies. Capital One notes it will not sponsor employment authorization for this position.
AI-keyword evidence: machine learning
Summary
A lead backend software engineering role at Capital One, leading technology projects and a team of developers to build cloud-based, distributed microservice solutions that help meet the company's regulatory needs. The position emphasizes backend development, open-source databases, container orchestration, and AWS, with occasional hands-on coding and code review plus mentoring. Capital One notes it will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering role at Capital One, leading a portfolio of projects and a team of developers to build cloud-based solutions that help meet regulatory needs. Responsibilities include distributed microservices, full-stack systems across multiple languages, container orchestration, and AWS services, plus mentoring engineers. The posting notes Capital One will not sponsor employment authorization for this role.
Summary
Senior development role designing, building and maintaining core airline applications and cloud-based solutions, leading technical projects with cross-functional teams. The named stack includes Java, Spring Boot, Node.js, Python, Angular, Kubernetes and AWS.
Summary
Software engineering role building production AI agents for Strata's healthcare finance, operations, and clinical data platform, using multi-agent orchestration, retrieval-augmented generation, Model Context Protocol, and tool calling. Also builds reusable AI services, evaluation pipelines, guardrails, and observability; healthcare data experience is preferred.
AI-keyword evidence: agentic workflow, agentic workflows, retrieval augmented generation
Summary
A software engineering role at Casechek, a company automating the surgical-implant supply chain for hospitals and health systems. The engineer designs, builds, and improves the cloud-based mobile and web products and REST APIs behind Casechek's SaaS platform, contributing to architecture and technical design and troubleshooting production issues. The position is remote, though the company operates as a hybrid team based in Chicago.
Summary
A site reliability engineering role focused on building and automating the cloud infrastructure behind the company's systems, with automation treated as the core of the job. A distinctive expectation is fluency directing AI coding agents as a first-class SRE skill to write, test, and ship infrastructure code. Day-to-day work includes infrastructure-as-code, Kubernetes and service-mesh configuration, observability and alerting, and CI/CD pipeline maintenance in a cloud-native environment.
AI-keyword evidence: claude code, cursor
Summary
A staff application security engineer at Upside (a brick-and-mortar commerce/cashback platform), an individual-contributor AppSec role reporting to the Director of Information Security. The work is securing application code and payment systems — running SAST/SCA, reviewing Python, threat modeling, guiding security architecture, training engineers, and supporting AWS Control Tower/IAM and bug bounties. Requires 6+ years of app/product security including Python review and deep AWS security knowledge; hybrid in DC/Austin/Chicago/NYC, posted base $210,000-$230,000.
AI-keyword evidence: ai , gpt, copilot
Summary
A test-automation engineering role focused on building and maintaining end-to-end and integration test suites using Microsoft Playwright for modern web applications. Work includes writing automated tests in Python, integrating suites into CI/CD pipelines, debugging flaky tests, and applying the Page Object Model and data-driven testing. This is a hybrid position requiring three days a week in the downtown Chicago office.
Summary
This position combines business analysis and system administration to maintain a business-continuity software platform for a global security and business-resilience team. Work includes configuring the application, managing user access and integrations, troubleshooting issues, and producing reports and dashboards for leadership; it does not involve software development. It suits someone with business-analysis and system-administration experience, advanced Excel, and reporting tools such as Power BI.
Summary
A lead cloud data engineer for multi-cloud data platforms at U.S. Bank (Irving TX, Chicago IL, or Hopkins MN) designing, building, and operating enterprise-grade data products across Azure, AWS, Databricks, and Snowflake, evolving legacy architectures into cloud-native, domain-oriented data products. A lead multi-cloud data-engineering role.
AI-keyword evidence: ai
Summary
Platform developer in TransUnion's R&D organization, building and modernizing the tools and environments data scientists use — onboarding practitioners to cloud-based tooling and making ML workflows more automated and scalable. Requires strong programming for ML application front-ends (Shiny, Dash, Streamlit) and workflows (MLflow), with R, Python, SQL and Spark, plus a quantitative graduate degree or equivalent experience. Hybrid, at least two days a week in a TransUnion office.
AI-keyword evidence: agentic workflow, agentic workflows, vector database
Summary
An applied research engineer on Salesforce AI's Agentforce team bridging frontier AI research into customer-facing services — generative AI services for the agentic CRM. Hands-on research-engineering role.
AI-keyword evidence: ai , ml , artificial intelligence, generative ai
Summary
A software engineering management role leading a team building the API services for an ad-tech Buyer Cloud that supports DSP real-time bidding campaigns for programmatic advertising. Oversees planning, design, and delivery of software and web applications while mentoring engineers; preferred skills include Python and Django. Requires two days onsite in Chicago per the title.
Summary
An application-security engineering role on Cboe's Cybersecurity team, partnering with engineering teams to secure containerized services running on Kubernetes. Work includes secure design reviews and threat modeling, code-level security reviews with remediation guidance, and integrating and operating security tooling such as SAST, dependency and container scanning, and secret detection in CI/CD pipelines. It is positioned as a growth role for someone with software development experience building their application-security skills under senior guidance.
Summary
A principal software-engineering role leading QA for Cboe's billing platform, which shadows and validates over a billion dollars in annual revenue. The work includes building agents and MCP tooling into test harnesses, validating C++ billing logic against large trading-system outputs, standing up testing for a next-generation streaming stack, and automating real-time data testing through CI/CD. It also involves using the billing platform for revenue forecasting and pricing-strategy modeling.
AI-keyword evidence: claude code, build agents
Summary
A senior engineering-management role in Capital One's Global Payment Network, specifically the Pulse Network, which handles debit-card activity including network authorizations, fraud detection, settlement, and back-office solutions. The manager leads a team of full-stack developers building highly available, scalable payment systems, combining people management with technical direction across microservices, container orchestration, and AWS. Capital One states it will consider sponsoring employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
Leads the content design discipline for Capital One's consumer and developer-facing product portfolio inside the Experience Design organization, managing a team of content designers and content leaders. The work is content vision and strategy rather than engineering: partnering with executive product, tech, and design leadership, leading complex design projects, and scaling the maturity and operating infrastructure of content design across the company.
AI-keyword evidence: ai-assisted
Summary
A lead full-stack software engineering role at Capital One, leading a portfolio of technology projects and a team of developers building cloud-based solutions that help meet the company's regulatory needs. The work spans distributed microservices and full-stack systems using open-source databases, container orchestration, and AWS services, with mentoring responsibilities. Capital One states it will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering position at Capital One, leading both a set of technology projects and a team of developers to deliver cloud-based solutions supporting the company's regulatory needs. Responsibilities cover distributed microservices, full-stack development across multiple languages, container orchestration, and AWS, plus mentoring engineers. The posting notes Capital One will not sponsor employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A lead full-stack software engineering role at Capital One, leading a portfolio of technology projects and a team of developers building cloud-based solutions that support the company's regulatory needs. The work covers distributed microservices, full-stack systems, container orchestration, and cloud services, with mentoring of other engineers. Capital One states it will not sponsor employment authorization for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior product-engineering role centered on modernizing a platform from a monolithic application toward a service-oriented, cloud-based architecture. The engineer balances hands-on development with technical leadership, making architecture decisions, recommending cloud infrastructure patterns, and mentoring, while partnering with internal teams and external development vendors. The posting notes a multi-step hiring process that includes an online assessment and several interview rounds.
Summary
A cloud infrastructure engineering role at a managed security services provider, owning end-to-end build and administration of Microsoft GCC High and Azure Commercial environments for defense-industrial-base clients pursuing CMMC Level 2. Work is hands-on tenant provisioning, Entra ID baselines, Azure Virtual Desktop, and Microsoft Lighthouse rather than software development, and requires prior GCC High experience.
AI-keyword evidence: llm
Summary
An entry-level graduate software engineering role developing and supporting C++-based trading applications and tools at a proprietary trading firm, contributing to the firm's daily electronic-trading activity. It targets recent graduates in a quantitative field with knowledge of C++, Python, SQL, and JavaScript/React and a minimum 3.0 GPA. This is an onsite Chicago program with an August start.
Summary
FPGA and RTL development at a proprietary trading firm, building ultra-low-latency trading systems: exchange protocol adapters, low-level data processing optimizations, automated and algorithmic trading strategies, inter-application communication and system performance tuning. Candidates need modern System Verilog, Verilog or VHDL plus C, C++ or Python, along with strong data structures and algorithms fundamentals. This opening targets students graduating between December 2026 and June 2027 at bachelor's, master's or PhD level, with mentorship and a structured training program.
Summary
Ten-week summer software engineering internship at a proprietary trading firm in Chicago, building trading and risk applications such as exchange feed decoders, normalizers that construct order books, and tooling to surface executed trades to the compliance team. Interns work under senior technologists with the goal of deploying their project during the internship, and are paired with a mentor; furnished housing near the office is provided. It targets students graduating between December 2027 and June 2028 with C++, Python or Java skills and exposure to network programming, multithreading and real-time systems.
AI-keyword evidence: machine learning
Summary
A software developer role at a proprietary trading firm, building trading and risk systems across the full technology stack — trading strategy simulation optimized for distributed computation, large-scale data acquisition and visualization, ultra-low-latency and algorithmic trading strategies, and exchange protocol adapters. Uses C++, Java, or Python with skills in multithreading, network programming, and real-time systems. A new-graduate position targeting candidates graduating between December 2026 and June 2027.
Summary
A ten-week summer internship on the user-interface team at an options market-making trading firm, building real-time web trading applications with React, TypeScript, and Python. Interns collaborate with traders, quants, and engineers to design and build web apps, write tests, and participate in Agile/Scrum and application support. Candidates should be graduating by August 2028; no prior finance experience is required.
AI-keyword evidence: ai
Summary
A ten-week summer internship on the user-interface team at an options market-making trading firm, building real-time Windows desktop trading applications. Interns collaborate with traders, quants, and engineers to design and build desktop apps in C# and .NET, write unit and integration tests, and participate in Agile/Scrum and application support. Candidates should be graduating by August 2028; no prior finance experience is required.
AI-keyword evidence: ai
Summary
A ten-week summer internship on the platform engineering team at an options market-making trading firm, building highly automated operations and helping run and monitor the firm's systems. Interns support and expand a hybrid cloud platform with scalable, reliable systems and produce clean, tested, documented infrastructure code. Candidates should be graduating by August 2028; prior finance experience is not required, and exposure to infrastructure as code, Kubernetes, and AWS is valued.
AI-keyword evidence: ai
Summary
A ten-week summer internship at an options market-making trading firm, joining either the post-trade technology or data engineering team to build high-performance systems that process large volumes of trading and market data. Interns work alongside engineers and traders to design and implement solutions to complex problems. Candidates should be graduating by August 2028 with strong object-oriented Python skills; no prior finance experience is required.
AI-keyword evidence: ai
Summary
A ten-week summer internship at an options market-making trading firm, building high-performance systems that power core trading operations. Interns are embedded on small teams that interface with quant and trading, progressing projects from design through delivery and maintenance on multithreaded, distributed systems. Candidates should be graduating by August 2028; no prior finance experience is required.
AI-keyword evidence: ai
Summary
An entry-level quantitative developer and strategist role at an options market-making trading firm, converting research ideas into production trading strategies. Work includes developing pricing models and execution logic, analyzing and incorporating market signals, and optimizing performance alongside researchers, traders, and system engineers. No prior finance experience is required, but candidates must be graduating by August 2027 with a strong programming background and a technical degree.
AI-keyword evidence: machine learning
Summary
An entry-level software engineering role at an options market-making trading firm, building trading infrastructure, algorithms, exchange gateways, or data capture and analysis. The work emphasizes distributed systems and clean, testable code that can change as fast as market conditions require, in close collaboration with the trading team. Candidates must be graduating by August 2027 with strong object-oriented Python skills; no prior finance experience is required.
AI-keyword evidence: ai
Summary
An entry-level software engineering role at an options market-making trading firm, working on high-performance systems that power core business operations. The heavily multithreaded, asynchronous, and distributed systems require ensuring reliability, efficiency, and scalability, with day-to-day upkeep of core systems and lower-risk feature work. Candidates must be graduating by August 2027 with a technical degree; no prior finance experience is required.
AI-keyword evidence: ai
Summary
A hands-on engineering role designing, building, testing, and shipping agentic AI systems that run within AbbVie's security stack for detection, triage, response, risk assessment, and policy enforcement. The engineer contributes production code from day one while developing expertise across AI/ML and security operations, working alongside senior engineers and researchers in autonomous cybersecurity. Based in North Chicago, IL.
AI-keyword evidence: github copilot, claude code, cursor, build agents
Summary
A hands-on senior individual-contributor role on a team building AI agents that operate autonomously inside security environments to tackle hard security problems. The engineer architects, builds, and ships agentic AI systems while setting the technical standards for how they are developed, tested, and secured. It is explicitly not a management or pure-research position — the emphasis is writing production code and shipping systems. Based in North Chicago, IL.
AI-keyword evidence: github copilot, claude code, cursor, build agents
Summary
Senior software engineer building open-source web application platforms at the University of Chicago's Center for Translational Data Science, working full-stack across design, development, testing and maintenance. Preferred skills include Python (with Go/JavaScript a plus), REST APIs, microservices, containers, and data stores like Elasticsearch and PostgreSQL. Grant-funded; on-site in Chicago, with technical mentorship of interns and junior staff.
AI-keyword evidence: ai , ai-assisted
Summary
A solution-architecture role designing OCC's next-generation clearing system for capital markets, specializing in event-driven and message-based architectures using Kafka, microservices, and infrastructure-as-code. The architect owns end-to-end designs, sets and enforces standards, reviews code, and translates architecture trade-offs for business stakeholders, with heavy emphasis on streaming/batch data flows, resilience, and regulatory compliance. The role has no direct reports.
Summary
A hands-on principal AI engineering role building and owning production generative-AI systems on Azure AI Foundry, working across multiple model providers such as Anthropic's Claude and OpenAI's GPT. You would apply modern patterns like RAG, agents, tool use, and orchestration to real business problems, embed AI capabilities into client-facing front ends, and architect data pipelines integrating structured and unstructured banking data. It emphasizes shipping compliant, responsible AI in a regulated environment.
AI-keyword evidence: github copilot, ai engineer, vector database
Summary
Despite the full-stack title, the work centers on architecting and building REST APIs for Enterprise Content Management systems at a bank, integrating platforms like Box.com, DocuSign, Adobe Sign, and IBM/FileNet P8. The stack is .NET and .NET Framework with some React, plus production support and outside-vendor coordination. Office-based with a possible flexible arrangement; stated compensation range is $70,000-$140,000.
Summary
A specialist enterprise-application developer focused on IBM Case Manager and IBM Business Automation Workflow (BAW/FileNet) to replace paper-based processes at a bank. The stack is Java/J2EE plus JavaScript and Dojo front-end work, REST API design, and SQL, requiring 5+ years specifically with IBM Case Manager. Office-based; posted range $70,000-$140,000.
Summary
A senior application and systems development role delivering end-to-end build and maintenance across complex multi-technology platforms, set in a healthcare data context that involves EDI standards such as ANSI X12 and HL7 and HIPAA data-security requirements. Responsibilities span requirements gathering, technical design and code reviews, on-call support coordination, and mentoring; the position requires one to two days per week in the Chicago office.
Summary
Despite the analyst-flavored Business Information Developer Consultant title, this is a data-warehouse application development role, building complex strategic reporting applications, designing and implementing database tables, and performing ETL work against a data warehouse. The JD explicitly frames the position as programming-focused and includes team leadership and mentoring of less-experienced staff.
Summary
A hands-on senior software engineer role building and maintaining features for CCC's existing and new products, working across both frontend and backend. Responsibilities include creating technical designs, developing complex application components, ensuring code quality and testing standards, and resolving production defects in close collaboration with product owners and other developers. The position is on-site rather than remote.
AI-keyword evidence: ai , generative ai
Summary
A senior machine-learning engineering role in Cboe's Regulatory Division, which runs market surveillance, examination, and investigative programs to detect and prevent market abuse. The engineer prototypes, trains, and deploys ML models and AI applications that monitor financial markets generating terabytes of data each trading day, using scalable data engineering. The role follows a four-day in-office work model in Chicago.
AI-keyword evidence: machine learning engineer, ml engineer, production ml
Summary
A backend-focused Staff Software Engineer role centered on modernizing the Dealer Inspire websites platform that serves automotive dealerships. The work is platform architecture and scalable backend services -- designing performance-optimized systems and driving a cross-team technical strategy. Remote, but candidates must be located in the Chicago area and may face onsite interviews.
Summary
A principal architect role integrating cyber risk management with operational and digital resilience across a global airline - spanning business continuity, enterprise risk, cloud security, identity management, and dependency mapping. The work is framework-driven (NIST CSF 2.0, NIST SP 800-160 Vol. 2, CERT-RMM, AI risk management) and enterprise-strategic rather than hands-on coding; the role is remote.
AI-keyword evidence: ai
Summary
Senior development role building and maintaining critical airline applications with an emphasis on backend and cloud work, delivered through agile teams. The named stack includes Java, Python, Node.js, SQL and NoSQL databases and AWS, with object-oriented programming and systems design expected.
Summary
A senior full-stack engineer owning core areas of Studio, a newly launched self-serve product that lets businesses provision and launch RCS agents on Vibes' messaging platform. Built with React and TypeScript on AWS, the role designs and maintains the public API and an MCP server alongside the web UI, and is expected to lead projects end to end and grow into a technical lead. Hybrid, based in the greater Chicago area with two office days per week; the team uses AI heavily in its workflow.
AI-keyword evidence: ai , ai-assisted
Summary
Infrastructure engineering role on Chime's Core Infrastructure team, which runs the AWS, networking, Kubernetes, Terraform and observability systems behind the product. The work is automation-first: designing and supporting cloud infrastructure as code, building self-service tooling for the wider engineering organization in Ruby on Rails and Go, adopting new technologies for efficiency and reliability, and partnering with product engineers on modern service design patterns. Expected background is more than two years of cloud and infrastructure work plus prior DevOps, SRE or production engineering experience supporting customer-facing web services, including managing Kubernetes clusters and maintaining Terraform modules.
AI-keyword evidence: ai
Summary
Full-stack web developer building and supporting Uline's mission-critical e-commerce web applications, with code reviews and architectural input. Microsoft-centric stack — ASP.NET, MVC, C#, JavaScript and T-SQL — with 5+ years of web development expected. On-site in Waukegan, IL; Uline does not sponsor H-1B visas.
Summary
Full-stack web developer building and maintaining Uline's mission-critical e-commerce web applications, with code reviews and architectural input. The stack is Microsoft-centric: ASP.NET, MVC, C#, JavaScript and T-SQL, with 5+ years of web development expected. On-site at the Wisconsin headquarters; Uline does not sponsor H-1B visas.
Summary
Senior Java developer designing, building and deploying enterprise applications for Uline, with code reviews, mentoring and architectural input. Wants 7+ years of Java full-stack work with the Spring framework, REST/microservices, JPA, SQL and CI/CD tooling. On-site at the Wisconsin headquarters, with no H-1B sponsorship.
Summary
A data-focused role in Wealth Management that turns raw data into reusable intelligence products: advisor and client opportunity signals, operational insights, risk indicators, alerts, recommendation services, and predictive or AI-assisted analytics feeding dashboards and applications. It emphasizes a data-as-a-product mindset with strong governance, plus close partnership with business and technology stakeholders to translate needs into scalable capabilities rather than one-off reports.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
This is a functional Oracle Cloud ERP Financials solution-architect and consulting role rather than a software-development job: the architect leads end-to-end functional design for ERP Financials implementations, running business-process design sessions across GL, AP, AR, Fixed Assets, Tax, and reporting. It is client-facing consulting delivery — guiding functional consultants and technical teams, driving architecture decisions, and supporting proposals and demos. Requires 8+ years delivering Oracle ERP with deep Oracle Cloud Financials module expertise; degree in Accounting, Finance, or Information Systems.
Summary
An embedded FPGA and firmware engineering role at a national physics laboratory, designing RTL logic and embedded firmware and carrying projects through simulation, timing closure, and hardware integration for lab instrumentation. Work follows DOE orders and engineering standards, and Xilinx tooling (Vivado, Vitis, Zynq/UltraScale) is preferred. This is a fully onsite position that is sponsorship-eligible but offers no relocation assistance.
Summary
This is a technical product management role rather than a hands-on engineering job: a Product Manager on Capital One's Developer Experience team defining and executing strategy to improve developer productivity, test automation, and the delivery pipeline. It partners with engineering and design to deliver developer tooling and drive adoption of automated testing across the software development lifecycle.
AI-keyword evidence: claude code
Summary
A senior full-stack software engineering role that also carries team leadership, leading a portfolio of projects and a team of developers building cloud-based microservices and full-stack solutions to help meet regulatory needs, using JavaScript/Java/Python/Go, AWS, Docker, and Kubernetes. People-management experience is preferred, and Capital One indicates it may sponsor employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A very senior individual-contributor technical role, setting architecture and technical strategy as a hands-on thought leader across Capital One's Partnership Card technology (co-brand programs for brands such as Kohl's, Williams-Sonoma and T-Mobile). Rather than managing people, the engineer leads through technical contribution, decomposing complex problems, advising on system performance and scalability, and mentoring the wider engineering community.
Summary
A staff-level embedded C engineering role owning safety-critical firmware for FDA-regulated glucose and bio-wearable diabetes devices, from specification through verification under 510(k)/PMA design controls. The work is hands-on low-level device-driver and RF/WiFi development plus technical leadership and mentoring, and it is on-site in Alameda or Milpitas, California. Requires 10+ years (or a master's with 7+), and posted base pay is $130,700 to $261,300.
Summary
Developer role on a software delivery and platform engineering team, building production-ready applications with .NET Core and .NET Framework and API-first RESTful services. AWS work spans ECS, S3, SQS, SNS and IAM, alongside SQL and NoSQL data stores, JavaScript, CI/CD pipelines and monitoring tooling.
Summary
A pre-sales enterprise solutions architect (Field Architect) at martech vendor Braze, not a hands-on builder — the work is running future-state architecture workshops, navigating security and data-governance committees, and unblocking deals during the sales cycle. It calls for deep distributed-systems and enterprise data-integration design (Snowflake, Salesforce, Adobe, zero-copy data sharing) plus change-management consulting and competitive positioning against legacy marketing clouds. Hybrid role; posted base pay is $158,000–$236,000 with on-target earnings of $197,000–$295,000 including commission.
AI-keyword evidence: ai , ai-assisted
Summary
Roughly six-month temporary platform-engineering contract at the University of Chicago's Center for Translational Data Science, blending infrastructure work with full-stack coding. Day to day means managing AWS EKS Kubernetes clusters and ArgoCD GitOps pipelines while writing and debugging backend and frontend application code, plus triaging production incidents. On-site in Chicago; expects someone who can ramp fast with minimal hand-holding.
AI-keyword evidence: ai , ai-assisted
Summary
A cloud-security and DevSecOps engineer protecting cloud assets across AWS, Azure, and GCP for commercial, government (CJIS, CCCS), and Federal (FedRAMP) environments. You deploy and maintain protections like CNAPP, vulnerability detection, WAF, and firewalls, automate security self-verification, support compliance with standards such as NIST 800-53, SOC 2, and ISO, and assist with incident response, sometimes as incident coordinator.
Summary
A hands-on consulting technical architect who stands up and productionizes Databricks Lakehouse platforms for clients — Unity Catalog, medallion Delta Lake pipelines, IaC and CI/CD, and applied Mosaic AI and GenAI. Leads full implementation lifecycles alongside Huron functional leads; a client-facing manager role on the Data Management & Analytics team. Chicago-based consultancy.
AI-keyword evidence: ml engineer
Summary
This is a cybersecurity architecture and advisory role reporting to the bank's Cybersecurity Architect Senior Manager, split roughly 40% security architecture, 50% technical leadership, and 10% research and development, designing security solutions for third-party/vendor relationships and setting security direction alongside product and solution architects. It requires 2+ years of cybersecurity architecture experience plus 6+ years each of information-security and technology-delivery experience.
Summary
A data engineering role building large-scale pipelines that power targeted customer-acquisition marketing campaigns, handling high-volume batch and digital data streams on a modern data-lake and warehousing stack. The work tackles big-data volume-and-velocity challenges while contributing within a developer team and maintaining well-tested, performant code. Requirements include application development along with big-data and cloud experience.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A lead back-end software engineering role oriented toward large-scale data processing, set apart from the company's general full-stack openings by its focus on Spark-based pipelines and data-heavy systems. The posting does not offer visa sponsorship.
AI-keyword evidence: ai , ai tooling
Summary
A full-stack engineering lead position at Capital One that mixes personal coding with leadership of a developer team delivering cloud-based systems for the bank's card customers and regulatory obligations. The posting states the company will not provide visa sponsorship or immigration support.
AI-keyword evidence: ai , ai tooling
Summary
Despite the tax-practice framing, this is a genuine software engineering role: designing and implementing distributed systems for BDO's tax products, with a heavy focus on customizing and integrating Microsoft Dynamics CE and Project Operations, building SQL Server/Azure SQL/NoSQL database solutions, and running Azure-based CI/CD pipelines. The role owns end-to-end technical delivery within an Agile team and mentors senior/lead engineers, requiring 8+ years of hands-on Dynamics Project Operations architecture/implementation experience plus deep Dynamics CE/Canvas App expertise.
Summary
This is a senior DevOps/infrastructure engineering role owning the AWS infrastructure layer for Snapsheet's claims-management SaaS platform -- cloud networking, database high-availability and disaster-recovery design, IAM security, and Terraform-based infrastructure as code (with tools like Terragrunt and Spacelift). It's a fully remote position and prefers 5+ years of DevOps, infrastructure, or platform engineering experience.
Summary
Identity and access management engineering role at iManage, owning IAM infrastructure across a Microsoft-centric environment — Entra ID as the primary identity provider, SSO integrations (SAML/OAuth/OIDC/SCIM), and privileged access via CyberArk. Enforces zero-trust and least-privilege/RBAC, automates user lifecycle with PowerShell and Graph API, leads IAM incident response, and covers network infrastructure as a secondary duty; individual contributor with on-call.
Summary
A full-stack software engineer role (junior to the Senior Software Engineer version on the same team) developing and testing reusable AI-enabled software features under guidance from senior engineers and architects, using the same Node.js/Python/.NET, React/TypeScript, and Azure/AWS stack. Focuses on Agile delivery and applying responsible-AI and security practices while building depth in cloud/AI development.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm, openai, generative ai
Summary
A senior full-stack engineer role building and integrating generative AI capabilities (RAG, prompt workflows, model integration) into West Monroe's internal software products, using Node.js/Python/.NET back ends, React/TypeScript front ends, and Azure/AWS cloud infrastructure. Requires 5+ years of experience and includes mentoring junior developers.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm, openai, generative ai
Summary
A senior technical architect role owning architecture and engineering strategy for West Monroe's internal proprietary software asset suite, driving adoption of generative AI and agentic capabilities across cloud-native platforms built in C#, Java, Python, or TypeScript. Requires 10+ years of software engineering/architecture experience and mentors engineering teams while partnering with product and design leaders.
AI-keyword evidence: github copilot, cursor, vector database
Summary
The most senior individual-contributor cloud-security role at trading platform NinjaTrader, owning cloud security architecture across Google Cloud Platform (IAM, VPC Service Controls, KMS, Security Command Center) and designing edge/perimeter defenses with Cloudflare and Google Cloud Armor. It is an IC role with no people management that sets security standards and leads incident and security reviews company-wide; based in Chicago.
Summary
A full-time role on Jump Trading's research-automation track, applying ML and deep-learning research to quantitative-finance problems while building the tooling and infrastructure that speeds up the research-to-production cycle. Wants a strong publication record or open-source contributions plus Python/C++ and PyTorch/JAX/TensorFlow experience.
AI-keyword evidence: ai , ml , machine learning
Summary
The internship version of Jump Trading's Research Automation track — improving research tooling and infrastructure while applying ML techniques to quantitative-finance problems and continuously refining model design and iteration speed. Same technical bar as the full-time role: strong ML background plus Python/C++.
AI-keyword evidence: ai , ml , machine learning
Summary
The full-time counterpart of Jump Trading's Deep Learning research role — implementing open-ended ML research (transformers, state-space models, etc.) into production systems for quantitative trading, and optimizing training pipelines and low-latency inference. Candidates are expected to have a strong publication record or open-source ML contributions alongside Python/C++ development skills.
AI-keyword evidence: ai , ml , machine learning
Summary
An internship for research-scientist-track candidates at Jump Trading, applying deep learning (including transformer and state-space-model architectures) to open-ended quantitative-finance research problems and carrying them from concept through production. Looks for a strong publication record (ICML, ICLR, NeurIPS, etc.) or open-source ML contributions, plus Python/C++ skills; no finance background required.
AI-keyword evidence: ai , ml , machine learning
Summary
A new-graduate engineering role building large-scale ML systems for quantitative trading, collaborating with researchers and quants to optimize training pipelines and low-latency inference. Work spans C, C++, Python, and CUDA plus GPU or accelerator programming, integrating AI/ML models into production trading systems. No finance background is required; the emphasis is deep technical expertise in ML systems and high-performance computing.
AI-keyword evidence: ai , ml
Summary
The internship version of Jump's ML-systems engineering role, pairing an intern with research, trading, and engineering teams to build large-scale AI/ML systems for quantitative finance. Focus areas include optimizing training pipelines on HPC clusters, low-latency inference, and GPU programming, drawing on Python or C++ and frameworks like PyTorch, JAX, or TensorFlow.
AI-keyword evidence: ai , ml
Summary
A ten-week web and UI engineering internship at a proprietary trading firm, building browser-based applications that interact with components of its real-time trading platform. The named stack is TypeScript and Python with modern web frameworks, with React listed as helpful rather than required, and interns ship production code through the firm's normal development and release process. Based in Chicago, with no finance or economics background required and CPT/OPT-eligible students welcome.
AI-keyword evidence: claude code
Summary
An internship on the FPGA team at a proprietary trading firm, working on ultra-low-latency systems where off-the-shelf hardware is not sufficient. The work is digital hardware design at heart, centered on RTL in SystemVerilog, Verilog or VHDL alongside C, C++ or Python, spanning networking, high performance computing and real-time acceleration. It targets electrical engineering or computer science students with prior hardware or low-level software experience; no finance background is required and CPT/OPT-eligible students are encouraged to apply.
AI-keyword evidence: machine learning
Summary
A ten-week summer internship with the data engineering group at a proprietary trading firm, building and maintaining the pipelines and infrastructure that serve firm-wide data. Interns work on production code under a dedicated mentor through the firm's full development, testing and release cycle, and the program is described as the primary path to full-time offers. Python on Linux is the core skill asked for, no finance or economics background is required, and international students eligible for CPT or OPT are encouraged to apply.
AI-keyword evidence: claude code
Summary
A ten-week summer software engineering internship at a proprietary trading firm, contributing production code to a real-time, high-performance distributed trading platform and its supporting infrastructure. Interns are paired with a dedicated mentor and work through the firm's full agile development, testing and release cycle, and the program is described as the main pipeline into its core development team. C++ or Python on Linux is the core requirement, no finance background is needed, and CPT/OPT-eligible international students are encouraged to apply.
AI-keyword evidence: claude code
Summary
New graduate software engineering role at a proprietary trading firm, joining the team that designs, codes, tests and maintains its distributed trading system and large-scale compute infrastructure. Placements can fall in market data, order entry, risk management, simulation or UI development, working alongside experienced engineers on C++, Python, SDLC and test automation. The stated skill bar is C++ or Python on Linux with a strong grasp of data structures and threading models; no finance or economics background is required and the firm sponsors work visas for full-time positions.
Summary
Hands-on security engineering role at a quantitative trading firm focused on threat detection and incident response, including analyzing incidents via the MITRE ATT&CK framework, threat hunting across anomalous log data, and managing security infrastructure such as SIEM, EDR, IDS/IPS, MFA, and email security. The role leans on automation and API-driven orchestration to streamline response and includes vulnerability management plus securing the firm's growing internal AI and agentic-tooling footprint. Works alongside a managed security service provider (MSSP) and targets candidates with roughly 3-5 years in cybersecurity or security engineering.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A senior embedded firmware engineer developing and maintaining firmware for Zebra's thermal printer products, spanning HALs, Linux kernel drivers, peripheral and network communication, and real-time controls. It leads requirements meetings and root-cause analysis, is hybrid and on-site at least three days a week in Lincolnshire, IL, and requires a CE/EE degree plus about six years.
AI-keyword evidence: ai
Summary
A ServiceNow developer specializing in IT Operations Management — building and enhancing CMDB, Discovery, and Service Mapping to map relationships across infrastructure, applications, and business services for a bank. Work is Agile (user stories through production), including data ingestion, normalization, and ETL to keep the CMDB accurate. Requires 3+ years of ServiceNow ITOM development plus CSA and CAD certifications, is onsite 3+ days a week, and is not eligible for visa sponsorship.
Summary
A senior software engineering role delivering full-lifecycle solutions across Venmo's cloud infrastructure, with a focus on chaos engineering and business continuity. The work involves building and operating systems that let infrastructure withstand and recover from failure scenarios, spanning design, implementation, testing, delivery, and operations. The role also advises management and guides junior engineers.
Summary
A Salesforce-focused business systems analyst in Global Sales Operations, acting as a consultative design expert rather than a hands-on developer. You translate business workflows into Sales Cloud designs using declarative tools such as Flow, reports, dashboards, and validation rules, lead user-acceptance testing, drive CRM data quality and governance, and support enterprise integrations with CPQ, ERP, and data-warehouse systems.
AI-keyword evidence: ai
Summary
A senior data-quality and test-automation engineering role building enterprise data-validation frameworks and reconciliation pipelines to ensure accuracy across analytics and reporting systems. Uses SQL, Informatica/IICS, Snowflake, and Python, embedding quality controls into ETL/ELT and CI/CD across Snowflake, Oracle, and AWS, with AI-assisted test development. Also covers data governance, compliance, and test-environment strategy.
AI-keyword evidence: ai , machine learning, ai-assisted, generative ai
Summary
A senior software engineering role on Expedia's advertising technology team, building backend APIs and distributed services and productionizing machine-learning systems (recommendations, ranking, forecasting, and generative-AI decision support) for advertiser-facing products. It sits at the intersection of distributed systems, ML engineering, and product, partnering with ML engineers and applied scientists to deploy and operate models at scale.
AI-keyword evidence: rag pipeline, ml engineer, applied scientist
Summary
A senior leadership role building and leading a team of enterprise architects for an ad-tech company's product platforms, setting architecture strategy, governance, and standards for distributed, cloud-native systems spanning ad serving, SSP, DSP, identity, measurement, and data platforms. Combines people leadership, portfolio-level architecture, and advising product and engineering leadership. A strategic, non-hands-on position.
AI-keyword evidence: ai , generative ai
Summary
A leadership role defining the long-range architecture strategy, standards, and governance for a company's infrastructure and shared platform capabilities, including cloud and datacenter, Kubernetes and containers, CI/CD, databases, observability, secrets management, and identity integration. The director builds and leads a team of enterprise architects and advises engineering and platform leadership on modernization. This is a strategic architecture and people-leadership position rather than a hands-on coding role. Hybrid in Reston per the title.
Summary
An engineering management role at FreeWheel (Comcast's video ad-tech arm) leading a team of roughly 5-8 engineers building a high-scale video advertising platform handling billions of daily requests. Hands-on background expected in C/C++, database design, network programming, and large distributed systems; Golang and agentic-AI-in-SDLC experience are pluses. Chicago hybrid.
AI-keyword evidence: ai
Summary
A data engineering role in a financial-services environment, building and operating large-scale cloud data pipelines and warehousing that support customer-facing products. It combines hands-on engineering across distributed data-processing systems with leading a team of developers and emphasizing testing, code review, and performance tuning. Capital One states it will consider sponsoring a qualified applicant for work authorization for this position.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
Despite the individual-contributor title, this role manages a team of full-stack and backend engineers while staying hands-on in Java and Python (Spring Boot, REST microservices). It carries heavy data-engineering and operational ownership, building and maintaining ETL pipelines and owning monitoring, incident response, and production uptime, plus direct client-facing delivery from requirements through deployment.
Summary
A senior data engineering role that the posting frames as a software engineering role at its core with a data specialization, owning the data architecture behind a decision-intelligence platform while shipping production C#/.NET code. Requires deep, hands-on Snowflake and Microsoft Azure data engineering experience, strong SQL and data modeling, and working knowledge of privacy and compliance frameworks (GDPR, HIPAA, SOC 2).
AI-keyword evidence: machine learning
Summary
A hands-on application-security engineering role helping scale a trading platform's security program, owning domains such as vulnerability management, application and API security, and supply-chain security. The work integrates security into design reviews, threat modeling, and CI/CD pipelines and involves building and tuning SAST, SCA, DAST, dependency, and container-security tooling, with some use of AI/LLMs. It emphasizes automation and developer enablement with significant autonomy.
AI-keyword evidence: llm
Summary
A lead data-engineering role at Kroger's retail data-science subsidiary, designing and building pipelines that ingest, store, transform, and distribute petabyte-scale shopper data on Azure with Databricks (Spark, PySpark, SQL) and Python to power customer personalization. Beyond hands-on development of REST APIs on Kubernetes, it carries team-lead duties: mentoring engineers, setting technical strategy with product and data science, and overseeing blended offshore/onshore teams. Note the company's strict five-day in-office schedule.
Summary
A consulting solution-architecture role owning the technical strategy and design for enterprise Azure modernization programs, spanning presales scoping through delivery oversight. The work combines hands-on architecture governance (design reviews, reusable reference frameworks, mentoring engineering teams) with a business side that carries utilization and sales targets and supports proposals. Requires an Azure Solutions Architect Expert-level certification (or in progress) and willingness to travel; the employer does not sponsor work visas.
Summary
A quality-and-compliance leadership role in AbbVie's regulated pharma IT, focused on DevOps and the software/technology lifecycle rather than hands-on coding. The work centers on validating and optimizing CI/CD pipelines, automated testing, and monitoring so that IT operations meet FDA-style regulatory and corporate-quality requirements, plus owning incident management, CAPA investigations, and support for regulatory audits.
Summary
Software and IT quality-assurance and compliance leadership role ensuring AbbVie's IT operations and software lifecycle processes meet regulatory and corporate standards, using automation and AI to modernize metrics, monitoring, audit, and CAPA processes. The work is quality governance, audit readiness, and issue resolution rather than hands-on product development.
AI-keyword evidence: ai
Summary
Lead architect role designing enterprise platforms and integration patterns for delivering software, data, and AI-enabled solutions across a pharmaceutical company's R&D and Safety functions. Heavy focus on agentic and LLM-based systems (orchestration, prompting, RAG, memory/context, MCP, human-in-the-loop) plus cloud, DevOps, and MLOps architecture guardrails for security, reliability, and compliance.
AI-keyword evidence: ai , llm, claude
Summary
A compliance-driven architecture role: leading enterprise PCI assessments, vulnerability remediation, and technology-risk reduction across infrastructure, network, cloud, database, and security teams. Success depends on influencing many organizations without direct authority — the work is governance, roadmaps, and remediation coordination more than hands-on building.
Summary
A software engineering leadership role directing multiple teams that build the technology behind Capital One's Partnership Card business, serving co-brand partners such as Kohl's, Williams-Sonoma, and T-Mobile. The emphasis is on modernizing monolithic systems into microservices and accelerating AI-assisted development, and it requires seven or more years in software development.
AI-keyword evidence: claude code
Summary
A full-stack software engineering role at Capital One that pairs hands-on development with leadership of a team and a portfolio of projects supporting the bank's regulatory and customer-facing systems. The posting states the employer will not provide visa sponsorship or immigration support for this position.
AI-keyword evidence: ai , ai tooling
Summary
A principal AI engineering role setting technical direction for complex GenAI and agentic systems while remaining hands-on in the code — foundation-model and embedding fine-tuning, agentic workflows, and advanced RAG and semantic search using Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search. Also serves as the technical face of client engagements, shaping solutions in pre-sales. Remote.
AI-keyword evidence: agentic workflow, agentic workflows, rag pipeline, ml engineer, ai engineer, vector database
Summary
This is a backend-leaning full-stack software engineering role building and maintaining scalable web applications and RESTful APIs, primarily in Python and Django with some React and TypeScript. It emphasizes backend performance, database optimization, and AWS deployment, and asks for five or more years of Python and Django development.
Summary
A data-engineering role at Kroger's 84.51 subsidiary building big-data ingestion, storage, and distribution pipelines in an agile, scrum-based environment. Work centers on Databricks and cloud-based solutions using Python, Spark/PySpark, and SQL, with automated unit and integration testing and mentoring of junior engineers. Applicants must have work authorization that will not require visa sponsorship, and the role is 5-day in-office.
Summary
A hands-on solution-architecture and technical-leadership role at a consulting firm, driving Azure modernization and transformation programs across multiple client teams. The work is program-scale architecture — setting shared patterns and guardrails, guiding designs and code reviews, and mentoring architects and senior engineers — rather than individual feature delivery. Consulting delivery skills (discovery, roadmaps, executive communication) are as central as the engineering.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
Salesforce engineering role on G2's GTM Systems team, serving as the embedded technical partner for Customer Success and Support — gathering requirements, designing, writing Apex, and shipping Salesforce solutions to production end to end. A high-autonomy role with no separate product manager, business analyst, or QA; remote in the US.
AI-keyword evidence: claude code
Summary
Engineering-director role owning AI-guardrails products for U.S. Bank's enterprise AI platform — rulesets that govern AI models and agents — spanning vision, architecture and delivery across multiple engineering teams on Azure and AWS. Combines deep technical ownership with heavy operational and people-management discipline, from design reviews to Jira hygiene and responsible-AI compliance.
AI-keyword evidence: ai , llm, genai
Summary
A staff-level SRE/infrastructure role at Chamberlain Group designing and evolving the cloud platform (PaaS, IaC with Terraform/ArgoCD, Kubernetes, observability) with an indirect leadership component guiding the SRE team. Expect 7+ years of infrastructure/operations experience and work under ISO 27001 security requirements. Emphasis is on automation and roadmap-driven platform improvement.
Summary
A forward-deployed engineer who owns enterprise on-prem and air-gapped deployments of a security product end to end, debugging incidents live in customer environments across Docker, Postgres, networking, and agents. The core work is infrastructure and networking troubleshooting (DNS, TLS, proxies, firewalls, internal CAs/PKI) plus building SSO/IdP integrations, with enough Go, TypeScript, or Python literacy to trace bugs rather than build features. Requires living in Chicago and comfort acting as the technical bridge between customers and engineering.
Summary
Software engineering role embedded with Stripe's Solutions Architecture team, building internal tools, AI agents, and workflow automation to raise that team's productivity. Ships production code daily and hardens SA-built prototypes into maintainable systems; success is measured by adoption and productivity gains rather than shipped product features.
AI-keyword evidence: ai engineer
Summary
Cloud security architect at a bank holding company — reviewing, validating, and guiding cloud-native and third-party security controls across business units, leading threat modeling for SaaS and PaaS products, and advising on identity and access for cloud services. Strategy-and-architecture work in a regulated banking environment rather than hands-on operations.
Summary
Leading offensive security operations against a major bank's AI/ML systems — adversarial testing of LLMs and model pipelines (prompt injection, data poisoning, model inversion, jailbreaks) alongside traditional red teaming, plus building custom tooling and mentoring red team engineers. A senior technical-authority role requiring 8+ years of relevant experience.
AI-keyword evidence: rag pipeline
Summary
A data quality and testing role within Kemper's Data Engineering organization, serving as an independent validation and QA function across enterprise data platforms, pipelines, and reporting solutions. Work includes building test strategies and automated validation frameworks, regression and release testing, root-cause analysis of production data incidents, and performance/non-functional testing to ensure data accuracy and regulatory compliance. It is a data-focused quality-engineering role rather than feature development.
AI-keyword evidence: ai-assisted
Summary
A top individual-contributor engineering role applying a software-first approach to Capital One's edge and network infrastructure, automating the connective code that steers traffic and scales compute between on-premises and cloud environments. It is as much network engineering as software engineering, expecting deep experience in both alongside architectural leadership and mentoring. The role emphasizes leading through technical contribution rather than people management.
AI-keyword evidence: machine learning
Summary
A software engineering management role in Capital One's Global Payment Network organization, combining hands-on technical direction with people leadership to build the highly scalable, resilient distributed systems that process the network's payment transactions. The posting weights people-management experience heavily, requiring several years of it alongside core engineering depth.
AI-keyword evidence: ai , ai tooling
Summary
A lead engineering role designing an AI-powered observability platform, building autonomous agents for anomaly detection, root-cause analysis, and automated remediation across hybrid and multi-cloud environments. Full-stack development in Java/Spring Boot, Python, Node.js, and React, integrating tooling like Datadog, Dynatrace, New Relic, and OpenTelemetry with AIOps and self-healing automation. Remote.
AI-keyword evidence: ai engineer
Summary
A Microsoft-ecosystem data-governance and security engineering role: hands-on ownership of Microsoft Purview (DLP, sensitivity and retention labels, insider risk, eDiscovery, audit), Entra ID, and Defender across a hybrid M365/Azure/on-prem environment, translating frameworks like CMMC, NIST 800-171, ISO 27001, HIPAA, and GDPR into enforceable technical controls. Includes participation in the security team's on-call rotation; wants 5+ years in infosec with at least 3 focused on data protection or governance.
AI-keyword evidence: copilot
Summary
Lead cloud data engineer at a regional bank with over $70 billion in assets: owning data architecture and pipeline strategy while providing technical leadership to a team of data engineers on an AWS/Databricks platform (S3, Glue, Lambda). The team works Agile with a GitOps everything-is-code model across data integration, data products, and governance. Posted salary range: $98,400-$199,000.
Summary
Mid-level full-stack product engineering on Enova's SMB team — owning core application features end to end with Java, Python, or Go services behind a TypeScript/React frontend, plus SQL schema and query work in a microservices, event-driven environment. Expect an on-call rotation and a hybrid Chicago arrangement; the posting spans multiple career-ladder levels, with the budgeted salary ladder starting at $68,000 for the Software Engineer I level.
AI-keyword evidence: ai , machine learning
Summary
Platform engineering role owning the messaging, caching, job processing and workflow systems that let Chime's services communicate, building the frameworks, libraries and operational patterns product engineers rely on. Specific areas include local and distributed async processing and service-to-service communication, Redis governance and tooling, workflow orchestration on Temporal and Cronitor, shared Rails concerns such as logging, tracing, PII masking and schema enforcement, and practical tooling that makes AI-assisted development safer. Strong Ruby and Rails experience is central, with AWS, Terraform, Helm, Kubernetes and Docker familiarity expected and a track record of shipping production systems and then measuring whether they worked.
AI-keyword evidence: ai , ai-assisted
Summary
An applied-AI builder role embedded in a SaaS company's go-to-market organization rather than product engineering: designing agents, intelligence layers, automations, and decision-support tools for revenue-team workflows, modeled partly on the role-holder's own field judgment. Success is measured by practitioner adoption and revenue impact, so it demands GTM domain fluency alongside AI-building skill.
AI-keyword evidence: claude code, cursor, build agents
Summary
Engineering leadership for the team building the agentic AI backbone of the Kroger enterprise — platforms like agent/MCP/scorer/prompt registries, agent development and monitoring tooling, and low-code/no-code agent platforms. The role manages engineers plus offshore reliability teams, owns hiring, and carries operational accountability for reliability and incident management across agentic platforms. The company works a 5-day in-office schedule.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A dual people-and-architecture leadership role at an Azure-focused consultancy: managing multiple delivery teams and their managers while also serving as lead architect on large Azure programs spanning applications, platforms, and data. Most of the posting is people leadership — staffing and utilization balancing, coaching, hiring standards, development plans — with organization-wide technical direction-setting layered on top.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
Despite the listed title, the posting body describes a Network Infrastructure & Security Engineer focused on detection engineering: writing SQL-based behavioral detections (lateral movement, C2 beaconing, DNS tunneling, exfiltration) on top of Ocient's petabyte-scale telemetry engine, building the datasets and demo environment, and shaping network probe and data-collection strategy. It is an explicitly hands-on builder role, remote US-only with 10-25% travel, and the company cannot sponsor or transfer visas of any kind. Posted range: $170,000-$210,000 base, $226,000-$280,000 OTE.
AI-keyword evidence: ai
Summary
A site reliability engineering (SRE) role at a precision-medicine AI company, providing dependable cloud infrastructure so product teams can build resilient, scalable services. The work centers on managing cloud infrastructure (AWS, GCP, or Azure), containerized deployments, Infrastructure-as-Code (Terraform preferred), and building monitoring, dashboards, and alerting. Healthcare-compliance familiarity (HIPAA, HITRUST, ISO) is a bonus; the JD states a Chicago salary range of about $85,000-$130,000.
AI-keyword evidence: ai
Summary
A senior full-stack engineer building across all tiers with Angular/TypeScript, Golang, Node.js, and SnapLogic, writing REST APIs in an event-driven microservice architecture with Kafka. Notably it expects hands-on use of AI coding tools (Codex, Windsurf, Claude Code) and LLM-based workflows, requires about seven years, is hybrid, and states a base range of $130,000 to $140,000.
AI-keyword evidence: claude code
Summary
Senior full-stack and data engineering on EMRge, a media and measurement firm's proprietary MarTech platform — leading design and delivery of software that ties ELT/ETL pipelines to a client-facing website, onboarding new clients, and building data-vending solutions used across the organization. The role works directly with product managers and client stakeholders and mentors junior engineers. For a senior engineer who wants both platform-building and client-facing exposure in the marketing-analytics domain.
AI-keyword evidence: ai
Summary
An information and data architecture role leading conceptual, logical, and physical data model design aligned to the firm's data mesh and medallion architectures. You would govern the enterprise data model library in SqlDBM, enforcing naming conventions, domain standards, and versioning. The posting states no visa sponsorship is available, so applicants must already be authorized to work in the U.S. Familiarity with modern data-mesh patterns and modeling tools is central.
AI-keyword evidence: github copilot
Summary
A lead DevOps engineering role owning the deployment and automation architecture for an AWS-based platform, building and maintaining CI/CD pipelines in GitLab CI/CD, managing Infrastructure-as-Code in Terraform (HCL), and coordinating controlled, low-downtime application deployments across environments. It carries real technical leadership, setting best practices across cloud engineering, release management, and operations while partnering with development, security, and QA teams. Strong AWS and Terraform depth is central.
Summary
A hands-on applied-AI developer building and deploying AI use cases that streamline Salesforce administrative work and boost sales effectiveness. The role centers on Google Gemini and Salesforce Agentforce: deploying use cases on those models, exploring their untapped capabilities, evaluating new models, and building simple workflow automations, while partnering with Salesforce IT and data owners. Success is measured by shipped use cases and reduced manual effort.
AI-keyword evidence: ai , llm
Summary
A distinguished-engineer role at a health insurer focused on accelerating enterprise AI adoption, evaluating emerging AI technologies, building prototypes and reusable agentic frameworks, and enabling business units to safely apply AI. The work involves hands-on vendor and model evaluation, proof-of-concepts, and decision matrices spanning LLM applications, RAG, and AI-assisted engineering. It requires being in-office 3 days per week within commuting distance.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Principal-level AI architecture for customer-facing digital products with embedded AI — defining enterprise architecture across GenAI, agentic workflows, ML platforms, and data ecosystems, and steering the AI tech stack (LLM APIs, RAG, LLMOps, Databricks, Snowflake, Azure). Hybrid from Naperville, Illinois or St. Paul, Minnesota with up to 10% travel; asks for ten years of progressive architecture and AI experience. For an architect who pairs strategy and governance work with real technical depth.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A back-end software engineering lead role at Capital One centered on server-side microservices and cloud services, with the lead guiding a team and occasionally coding or reviewing code. This posting is back-end focused rather than full-stack, and it states that no visa sponsorship or immigration support is available.
AI-keyword evidence: ai , ai tooling
Summary
A backend engineering role building scalable services and APIs (Java Spring Boot, Node.js, or Python FastAPI) with generative-AI capabilities integrated into enterprise applications at an insurance company. The work centers on deploying LLMs into production and building RAG pipelines, prompt engineering, and vector-database integrations, with CI/CD, Docker, and Kubernetes on Azure. Fully remote (Illinois), roughly 3+ years of backend experience, stated salary 110,000-150,000; Allstate generally does not sponsor employment visas.
AI-keyword evidence: rag pipeline, fine-tune, vector database
Summary
A lead machine learning engineering role focused on inference and performance — building and tuning production LLM serving with vLLM and SGLang, optimizing throughput and latency via batching, paged attention, quantization, and KV-cache strategies. Involves profiling training runs, GPU-architecture-aware optimization (H200, GB200), and deploying models on shared GPU clusters on GKE. Strong Python and Kubernetes required. Remote.
AI-keyword evidence: rag pipeline, machine learning engineer, ai engineer, production llm
Summary
This is a mentored Summer 2027 software engineering internship at a proprietary trading firm, where interns build production applications supporting trading systems alongside an assigned engineer, with projects scoped from real team needs and shipped to production. It targets students pursuing a CS or computer-engineering degree on track to graduate December 2027 to June 2028, and is also offered in the Austin office in addition to Chicago.
AI-keyword evidence: ai
Summary
A new-graduate software engineering program at a proprietary trading firm, starting in 2027 and open to students finishing a bachelor's, master's, or PhD in computer science or computer engineering between December 2026 and June 2027. New hires learn trading fundamentals and build well-architected systems alongside engineers, traders, and business teams, with benefits that include a global profit-sharing pool and 401(k) match. Notably, the firm states it supports US immigration sponsorship for this role.
AI-keyword evidence: ai
Summary
A summer 2027 software engineering internship at a global trading firm, combining project work with classroom training on markets, the firm's technology, and coding fundamentals. It targets students graduating between September 2027 and July 2028 with solid algorithms knowledge and proficiency in a language like Java or C++, starting June 7, 2027; prior finance knowledge is not required. For a CS-track student after hands-on trading-systems exposure plus a structured cohort experience.
Summary
A new-graduate software engineering seat at a global trading firm, building and maintaining the trading platform in close collaboration with traders and quant researchers. It targets students graduating between September 2026 and July 2027 with strong algorithms and data-structures fundamentals (Java or C++ preferred), starting full time in February or August 2027; interest in markets helps but prior finance knowledge is not required. Base salary is listed at $200,000 plus discretionary bonus eligibility — for a new grad who wants performance-sensitive systems work from day one.
Summary
A hands-on principal IC role serving Fortune 500 supply-chain customers: architecting and personally building enterprise integrations — SAP and other ERP/WMS/TMS landscapes, from EDI and flat files to event-driven streaming — plus agentic AI workflows on LangGraph/LangChain that automate work like shipment-exception resolution. The JD stresses this is not a coordination job: you write code, build data pipelines, take proof-of-concepts to production, and carry customer relationships from pre-sales onward while feeding field intelligence back into Product and R&D. For a senior engineer who wants customer-facing architecture with real building attached.
AI-keyword evidence: agentic workflow, agentic workflows, ml engineer, ai engineer
Summary
A senior data architecture role at Wintrust Financial, responsible for designing and implementing enterprise data integration solutions using MuleSoft, Azure, Kafka, Terraform, and Ansible, and for developing the long-term data roadmap and governance framework across the organization. The work includes both cloud and on-premises hybrid infrastructure, CI/CD pipeline design, API security standards, and mentoring of less experienced engineers. Located in Chicago; no explicit remote flag.
Summary
A forward deployed engineer position at Salesforce centered on Agentforce, the company agentic AI platform. Forward deployed engineers typically embed with customers to build and deploy tailored AI solutions, though this posting provides mainly company background rather than detailed responsibilities. Notably, despite the engineering title, it is classified under the Sales job category.
AI-keyword evidence: cursor
Summary
A client-facing consulting architect designing cloud analytics solutions on Microsoft Azure and Fabric — translating business requirements into technical specifications, leading delivery workstreams, and mentoring cloud engineers, report developers, and data scientists. Requires a bachelor's degree and at least ten years of cloud computing experience, preferably with Azure.
Summary
Lead data science engineer role building and operating the AI capabilities of an intelligent delivery platform at a health insurer — data pipelines, data curation and chunking/embedding for RAG, AI agent delivery, prompt engineering, model evaluation, and MLOps. A work-from-home role requiring a CS/engineering degree; sponsorship is not available.
AI-keyword evidence: ml engineer
Summary
A lead position in Capital One's data-engineering organization, designing distributed and streaming data pipelines and cloud data-warehouse solutions and leading a team of engineers with machine-learning and distributed-computing backgrounds. The role is oriented to big-data infrastructure work, and the posting indicates the employer will consider visa sponsorship.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A data engineering leadership role managing a distributed team and owning an end-to-end medallion data architecture for US health analytics. Accountable for multi-way partner data pipelines and data quality under HIPAA, SOC, and cybersecurity governance, serving consultants, actuaries, and AI agents; a hybrid office schedule is the norm.
AI-keyword evidence: ai , llm
Summary
A senior Site Reliability Engineering role at Snapsheet, described as 100% hands-on and combining software development with infrastructure management. The work covers automating infrastructure, building and operating the core internal observability platform, monitoring systems for capacity and performance, and partnering with development teams on reliability and delivery. It is a full-time direct-hire role based in the USA and remote.
Summary
A customer reliability engineering role at iManage, a document and knowledge management SaaS company primarily serving legal and professional services firms. The role sits between SRE and technical support escalation: owning P1/P2 incident command, building observability and synthetic monitoring, triaging platform-level issues at scale using telemetry and anomaly detection, and driving systemic reliability improvements. Hybrid with required in-office presence on Tuesdays and Thursdays at the Chicago office.
Summary
A senior applied AI architect at West Monroe Partners serving as the technical AI leader across client engagements — designing LLM-based solutions, RAG architectures, agentic workflows, and AI evaluation frameworks — while also contributing to business development and building reusable AI accelerators for the practice. This is a consulting role blending deep technical architecture with client advisory and some sales participation; the JD expects experience with enterprise AI governance, responsible AI practices, and hyperscaler AI platforms.
AI-keyword evidence: retrieval augmented generation, ai engineer
Summary
An enterprise patch management specialist role at a managed services provider, responsible for operating patching and configuration automation tools — Tanium, Ansible, Puppet, SCCM, Ivanti, Azure Update Manager, and Foreman — across global Windows, Linux, and non-Windows environments in US, UK, and European data centers. The role requires 6-10 years of patch management experience, 24x7 shift availability, and strong scripting skills in PowerShell, Bash, or Python. Remote-eligible but posted under Chicago.
Summary
At Kroger's retail data-science subsidiary 84.51, this role leads data architecture for AI-first products across the Kroger Precision Marketing portfolio. The architect defines cloud-native data platform patterns, medallion and semantic-layer designs, and governance to make data accessible, governable, and AI-ready, partnering with data scientists, ML and data engineers, and product managers. The company follows a mandatory 5-day in-office schedule.
AI-keyword evidence: ml engineer
Summary
Senior individual-contributor product security role on Zebra's Product & Solution Security team, partnering with product development teams to proactively reduce security risk across the product portfolio. Work centers on secure SDLC and shift-left practices, secure coding standards, vulnerability and secrets remediation, and ownership of security tooling and vendor engagement.
AI-keyword evidence: ai
Summary
A performance-focused application/product architect role designing and optimizing system architecture for scalability, reliability, and efficiency at Wolters Kluwer. The work centers on building performance models, running performance testing with tools like JMeter, LoadRunner, or Gatling, triaging performance and availability issues, and setting best practices across cloud environments. Telecommuting is permitted, requires a relevant bachelor's degree plus seven years of experience, and the posting states a salary range of roughly 118,300 to 207,400 dollars.
AI-keyword evidence: ai
Summary
Enterprise application development covering design, implementation, production support, and mentoring across web, mobile, database, and cloud technologies at a shipping supplies distributor. The posting reads as a labor-certification style ad — a fixed posted salary of $142,563 and a rigid checklist of a bachelor's degree plus five years across ten enumerated skill areas — based in Pleasant Prairie, WI.
Summary
A senior business-intelligence engineering role at a healthcare-AI company, owning the design and administration of analytics dashboards and BI tools (Looker, Tableau) from requirements gathering through production, plus data-governance work. It requires advanced SQL and 5+ years of BI development, and notably expects experience with agentic AI workflows (Claude Code, Cursor). Hybrid; states a $95,000-$135,000 range for Illinois.
AI-keyword evidence: claude code, cursor, agentic workflow, agentic workflows
Summary
A general software engineering lead role at a global bank: designing, building, testing, and maintaining applications while defining technical requirements for complex data-processing projects. It combines hands-on coding, prototyping, and debugging with collaboration across business users to translate needs into software, plus some longer-range planning for technology direction. The description is fairly generic, reading as a broad full-lifecycle development leadership position rather than a specialized stack.
Summary
An R&D engineering role at Silvus Technologies, a Motorola subsidiary building advanced MANET/MIMO mesh-network radios (the StreamCaster line) for defense, law enforcement, and public-safety missions in demanding field environments. The posting is heavy on company background, but the work centers on developing battle-proven tactical wireless communications technology with deep DARPA research roots.
Summary
A principal QA automation engineering role at Morningstar, leading design of enterprise-grade automated test frameworks across web, mobile and API platforms and setting QA strategy across AWS environments serving 200M+ monthly requests. It is a hands-on senior IC role with mentoring, requiring 8 years of test automation in JavaScript/TypeScript/Python/Java and CI/CD integration.
Summary
A senior-director consulting role architecting Workday integrations and data conversions for university, hospital, and academic medical center clients — Workday Studio experience is required and Orchestrate is a plus. Beyond the technical work, the job leans on client executive relationships, selling follow-on project work, and managing a team; wants 10+ years leading cloud enterprise implementations.
Summary
Cloud engineering management role combining hands-on cloud architecture with people leadership, responsible for designing, building, and operating secure, highly available cloud platforms using Infrastructure as Code and DevSecOps practices. Manages a team of cloud platform and site reliability engineers at a bank.
Summary
This is a Salesforce administration role, not application development, owning day-to-day admin of the Salesforce org across Sales Cloud, Service Cloud, and Account Engagement plus release management within a CI/CD pipeline, and also serving as scrum master. Requires a Salesforce ADM201 certification and 3+ years as a Sales and Service Cloud administrator.
Summary
An engineering management role at Chamberlain Group (myQ smart-access) leading teams that build AI capabilities for connected-home products — real-time data serving, LLM orchestration and agentic interfaces, and ML pipelines. It is explicitly a hands-on senior engineering leadership role requiring strong programming fundamentals and fluency in real-time serving, LLM systems and ML pipelines, not a purely managerial position. US-based, managing a distributed team.
AI-keyword evidence: ai engineer
Summary
Despite the individual-contributor sounding title, this is a senior engineering-management position responsible for leading, growing and mentoring multiple software teams behind Capital One's Partnership Card business (co-brand credit programs for retailers such as Kohl's, Williams-Sonoma and T-Mobile). Much of the work is organizational leadership and setting technical direction, including breaking monolithic applications into microservices, rather than day-to-day coding.
AI-keyword evidence: claude code
Summary
An embedded UI software architect role for Baxter's Novum infusion-pump platform, not a general app engineer. You lead Qt/Qt Studio user-interface architecture (MVC/MVVM) and C/C++ embedded development for a regulated medical device, using the Squish test framework and ensuring IEC 62304 compliance for FDA. Relocation assistance is offered.
Summary
Technical lead for Salesforce solution delivery inside an advisory, tax, and assurance firm, responsible for the engineering approach on client projects staffed with both clients and consultants. The role weighs alternative technologies against Salesforce best practices to find better client outcomes and folds quality assurance into every project stage rather than treating it as a separate phase. Core computer science fundamentals such as data structures, algorithms, and performance analysis are called out as expectations.
Summary
Software engineering team lead role split roughly evenly between hands-on coding and leadership, tasked with building and leading a newly formed compliance-focused development team. Designs and develops backend systems and cloud-based applications in C# and SQL, sets engineering standards, and mentors engineers; React and regulated-industry experience are nice-to-haves. Multi-state remote.
AI-keyword evidence: ai
Summary
A broad security engineering role anchored in application security: you lead architecture reviews, threat modeling, code reviews, and penetration-testing coordination while also covering cloud, infrastructure, IAM, and vulnerability management. Expect to integrate SAST/DAST/SCA and secrets detection into CI/CD and partner across Engineering, DevOps, IT, and Compliance; the posting indicates a remote arrangement.
Summary
A hands-on cloud infrastructure engineering role focused on implementing and operating Google Cloud environments across networking, compute, storage, identity, and platform services, rather than application development. A significant portion of the work is establishing cloud-native security posture using Cloud NGFW, Cloud IDS, Cloud Armor, VPC Service Controls, and IAM. The position is fully remote and specialized to Google Cloud.
Summary
This is an incident-management and application support role on a 24/7 fintech platform, not feature development: you triage and drive production issues to resolution, query data to diagnose problems, run technical bridges, and own root-cause analysis and postmortems against SLA deadlines. The posting is explicitly for non-day-shift coverage (4 PM-11 PM or 11 PM-7 AM CST) with a stated base salary of $80,000-$90,000.
Summary
A software engineering role on Ocient's Tools and Developer Platform team, building and evolving test-automation and analysis infrastructure, primarily in Python, that operates and tests the company's distributed database, along with broader developer-experience tooling. The work includes performance-testing infrastructure, keeping tests reproducible, and writing documentation and runbooks for developers. The position is fully remote but US-based only, with no visa sponsorship offered.
AI-keyword evidence: ai
Summary
A Defined Contribution Solution Architect role (virtual) at Alight, a benefits-administration company, supporting its retirement/financial-wellbeing offerings. Per the posting, the role drives Defined Contribution solutions for top clients, partnering with sales and product teams, supporting RFP responses, and applying benefits-administration and compliance expertise. This is a benefits-administration consulting and solution-design role rather than software development; the listing provides only a brief keyword-style description.
Summary
A ServiceNow engineering role at a pharmaceutical company focused on the HR Service Delivery (HRSD) module — configuring and developing workflows, portal, and reporting, troubleshooting issues, and supporting the HR Acuity case-management application. It is platform configuration and development work rather than general software engineering, asking for a degree plus about 6 years and ServiceNow HRSD experience in an Agile setting. Chicago-routed.
Summary
A security-architecture role at a pharmaceutical company, defining reusable security patterns and guardrails and driving secure-by-design across high-risk business applications. The work is advisory and architectural — representing security in design-authority boards, evaluating application and infrastructure designs, producing control architectures, and embedding security into delivery teams — rather than hands-on coding. Routed to Chicago; spans application and platform security.
Summary
A software-engineering role in Motorola's RF Site Software Engineering organization, which builds the mission-critical communications devices and land-mobile-radio site infrastructure behind public-safety and enterprise safety systems. The posting is largely company background, but the work supports the software that keeps voice, video, and data communications reliable in the moments that matter.
AI-keyword evidence: artificial intelligence
Summary
A data quality and testing role within Kemper's Data Engineering organization, serving as an independent validation and QA function across enterprise data platforms, pipelines, and reporting solutions. Work includes building test strategies and automated validation frameworks, regression and release testing, root-cause analysis of production data incidents, and performance/non-functional testing to ensure data accuracy and regulatory compliance. It is a data-focused quality-engineering role rather than feature development.
AI-keyword evidence: ai-assisted
Summary
A senior director leading HCSC's Data Science Engineering function, owning the engineering practices that bring AI and machine-learning solutions to production at scale — model deployment, MLOps, monitoring and reliability — and managing a team of machine-learning engineers. A hybrid leadership role (three in-office days per week) rather than hands-on coding.
AI-keyword evidence: machine learning engineer, vector database
Summary
A site-reliability engineering role keeping CCC's multi-cloud, hosted enterprise applications healthy — triaging incidents, automating remediation, and improving scalability and observability alongside DevOps, software, and infrastructure teams. For an SRE who likes automation and operational design in a large agile environment; in-office Green Street, Chicago.
AI-keyword evidence: ai , generative ai
Summary
A combined technical-and-people leadership role managing a full-stack engineering team in CCC's Subrogation product area, responsible for delivering scalable web applications and APIs. The manager owns end-to-end technical and solution design and architecture standards (React, TypeScript, Python/Node, AWS serverless, NoSQL) while building and mentoring a multi-level engineering team. Requires 8+ years in software engineering with 3+ years managing engineering teams; financial-services or insurance background preferred.
AI-keyword evidence: ai , generative ai
Summary
A full-stack engineering role on Capital One's Card Partnerships Acquisitions team, building the front-end experiences and backend services behind credit-card application submission, decisioning and provisioning. The team follows a you-build-you-own model, so the engineer owns deployment and support of the services built, and the role emphasizes applying generative-AI techniques such as LLMs, RAG and vector databases to new product capabilities.
AI-keyword evidence: claude code, vector database
Summary
A senior full-stack engineering role owning a portfolio of projects and guiding a developer team building cloud, microservice-based systems tied to regulatory needs. The role blends coding with architectural leadership, occasional people management, and community mentoring in a financial-services environment. The posting states Capital One will consider sponsoring a qualified applicant for work authorization.
AI-keyword evidence: ai , ai tooling
Summary
A back-end software engineering role leading a portfolio of projects and a developer team building cloud, distributed-microservice systems that support the company's regulatory obligations. It combines hands-on coding with technical leadership, some people management, and mentoring. The posting states Capital One will not sponsor applicants for employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A senior Software Engineer in Test role at a healthcare company, leading test automation for the AlinIQ informatics products in Core Diagnostics. It owns the build-out and maintenance of automation tools, test scripts, and frameworks for server, web, cloud, and mobile products, serving as the automation SME on agile teams. It is a QA-automation seat rather than product development; based in Lake Forest, IL, Chicago-routed.
Summary
Principal-level individual contributor and design authority for multi-cloud infrastructure at a consulting firm: owning the hardest architecture calls across AWS, Google Cloud, and Azure, defining firm-wide landing-zone and Kubernetes standards, and building the reusable Terraform module library other engineers adopt by default. Spans internal platforms and client engagements from pre-sales through production, expects 10+ years in production environments, and is explicitly not a people-management role.
AI-keyword evidence: ai
Summary
Architecture leadership for the baggage scanning application suite, covering architectural design, implementation and deployment. The work spans application and enterprise architecture across cloud services, microservices, Android mobile, CI/CD and observability tooling, and includes mentoring engineering teams and partnering with cross-functional leaders.
AI-keyword evidence: ai , generative ai
Summary
A software engineering role spanning several trading-strategy teams at a proprietary trading firm, with work ranging from ultra-low-latency systems that execute trades in live markets to large-scale research and simulation platforms for backtesting and strategy development. Depending on team, focus areas include low-latency execution, equity options tooling, core trading strategies, and retail order routing and pricing. It targets experienced engineers strong in systems-level programming such as C or C++ with Linux and networking fundamentals; a trading background is not required.
Summary
A deeply specialized IBM z/OS mainframe systems programmer focused on installing and migrating third-party ISV products — notably replacing Broadcom/CA mainframe tools — and managing the SMP/E software lifecycle. This is legacy enterprise mainframe work, not modern application development.
Summary
Backend product engineering on the Trust and Safety team of a consumer fintech, evolving the risk platform and the microservices behind identity, account suspensions and closures. The work spans API architecture, transactional databases and caching, monitoring and dashboards, with partnership across Risk Operations, Compliance, Data and Product. Three or more years of production software experience is expected, along with Ruby on Rails or a comparable framework, and candidates must be based in the Chicago area or willing to relocate for work out of the downtown office.
Summary
A principal data-engineering role at a bank, building and maintaining data solutions on a Master Data Management platform (Informatica MDM). The work is designing and deploying data integrations and flows with standards for scalability, security, error handling, and auditing, implementing DevOps and full testing, and serving as an escalation resource for internal and offshore teams. Asks for 5 years each with Informatica MDM, IDQ, and SQL; based in Rosemont, IL but US-remote considered, posted about $142K (a labor-certification posting).
Summary
A hands-on cloud security engineering role securing Azure and AWS through Policy-as-Code and Terraform Infrastructure-as-Code mapped to CIS and NIST 800-53. You would run CSPM tools such as Wiz and Microsoft Defender for Cloud, perform regular configuration assessments and audits, and investigate and respond to security incidents with root-cause analysis. It is an execution-focused engineering seat leaning on Terraform, Python automation, and Git-based CI/CD rather than policy writing alone.
Summary
Despite the engineer title, this is a production-reliability and incident-leadership role on Morningstar's Direct Advisory Suite — you stay close to C#/.NET and JavaScript code and logs (Splunk, New Relic) but your main impact is coordinating cross-team debugging and root-cause work under time pressure, not greenfield feature building. Suited to someone with 8+ years who is calm during incidents. Hybrid, four days onsite in Chicago.
AI-keyword evidence: ai-assisted
Summary
A senior technical lead and forward-deployed engineering manager role at Huron's AI Center, leading a team of engineers to ship AI/LLM and agent solutions into real systems while staying hands-on on the hardest builds. Expect full-stack work (React/TypeScript, Python with FastAPI/Django/Flask), cloud and Kubernetes, and current agentic tools (Cursor, Claude Code, Codex), with 8 to 10-plus years including two-plus leading engineers. Chicago; a hands-on engineering leadership role.
AI-keyword evidence: claude code, cursor
Summary
A manager-level AI solution-architect role at a professional-services firm, designing AI solutions across client projects — data pipelines, model orchestration, API development, and integration — applying traditional ML and generative AI (LLMs, embeddings, RAG, agents, MCP). It is hands-on architecture plus mentoring, with Python and AI/ML frameworks on Azure/AWS. Asks for 6+ years; Chicago-routed.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
An enterprise architect role at a bank defining target-state and reference architectures, modernization roadmaps, and architecture governance, with a notable emphasis on standing up AI governance and responsible-AI risk controls. The work is advisory and strategic, partnering across cybersecurity, risk, cloud, data, and infrastructure teams and producing Architecture Decision Records rather than shipping code. Requires 7+ years in enterprise or solution architecture in regulated financial-services environments and cloud-platform experience.
AI-keyword evidence: ai
Summary
A senior application architect role at a bank centered specifically on OFSAA (Oracle Financial Services Analytical Applications), owning the application architecture strategy, frameworks and roadmap for that platform. The work is governance and design leadership — defining standards, evaluating solutions and mentoring delivery teams — rather than hands-on coding. It is a remote position requiring 7+ years with OFSAA, with a broad stated range of 102K to 208K.
Summary
A senior full-stack engineering lead role at Capital One with a data-processing slant, combining hands-on development and code review with leadership of a developer team and project portfolio. The employer states it will consider visa sponsorship for a qualified applicant.
AI-keyword evidence: ai , ai tooling
Summary
A client-facing solutions architect role at Supernova Technology (securities-based lending software): working with clients on integrations, data migrations and custom deployments, creating scopes of work and project plans, conducting technical discovery, documenting data mapping and conversion requirements, designing and coordinating UAT, and acting as the point of contact for an offshore team. It wants a CS/engineering degree plus 2+ years in software consulting or a customer-facing technical role; financial-services/securities-lending knowledge is a plus; Chicago, 90,000 to 110,000 dollars.
Summary
Hands-on embedded software design in C/C++ for industrial automation and process-control products — hardware/software integration, real-time operating systems and complex debugging, acting as a subject matter expert within an engineering center of excellence. Hybrid schedule out of Lincolnshire, IL, with a posted range of $118,000-$148,000.
Summary
This role owns core capabilities of an internal AI agent platform, designing the deployment patterns, integrations, observability frameworks, and shared infrastructure that let teams across the company build and run AI agents at scale. Day-to-day work mixes platform building with hands-on support: defining technical patterns, debugging failing repositories, running code locally, and unblocking builders. It is an infrastructure-focused engineering position translating business goals into scalable agent solutions.
AI-keyword evidence: ai engineer
Summary
A senior backend integrations engineer at a precision-cardiology startup, owning the services that connect its platform to external healthcare systems, partner APIs, ERP and analytics tools so clinical and operational data flows securely. It is a senior individual-contributor role with real architectural influence on a small, high-impact team.
Summary
A senior cloud-architect role at a bank, developing and governing cloud architecture and technology roadmaps across multiple application portfolios. It works across all architectural disciplines — designing scalable, fault-tolerant systems on AWS, Azure, and GCP, maintaining the cloud roadmap and Well-Architected guardrails, and establishing reusable blueprints and standards for hybrid-cloud integration. A senior architecture role spanning IaaS, PaaS, and SaaS; Chicago-based.
Summary
A cloud-native software engineering role building the Edge Data Platform that securely connects Tempus's cloud with healthcare organizations to exchange clinical, molecular, and imaging data. Involves REST API and data-contract design in Python plus some React frontend work; healthcare formats like FHIR, HL7, and X12 are a bonus.
AI-keyword evidence: ai , genai
Summary
A senior site-reliability engineer role focused specifically on data infrastructure at FreeWheel, keeping data pipelines and backend data platforms reliable, scalable, and performant. The work is operations-heavy: monitoring/alerting design, automation, incident response, capacity planning, and database management across cloud platforms. Requires 8-plus years in SRE/DevOps/data ops with automation tooling (Ansible, Terraform, Kubernetes) and coding in Python, Go, Java, or Scala.
Summary
A Python software engineer role on FreeWheel's Buyercloud ad-serving team, building scalable real-time and batch data pipelines plus backend systems and APIs that integrate with analytics platforms. The ad-serving system processes billions of auctions per day at millisecond latency; the role requires two days onsite in Chicago and can involve nights and weekends as needed.
AI-keyword evidence: ai
Summary
A C++ backend engineering role on Comcast/FreeWheel's Buyercloud (formerly Beeswax) ad-serving team — a high-throughput, low-latency distributed system that processes billions of real-time ad auctions in milliseconds. The work centers on performance optimization, distributed scaling, and observability, and includes on-call rotations for a business-critical service. Requires 2 days onsite in Chicago.
Summary
A general software engineering role on FreeWheel's Buyercloud (formerly Beeswax) ad-serving team, building the low-latency system that decides and executes real-time bidding across billions of daily ad auctions. Work spans data- and model-driven features, scaling distributed infrastructure, cost optimization, and observability, in languages such as C++, Python, GoLang, or Java. It includes on-call rotations and incident escalation, requires the ability to work nights and weekends as needed, and is onsite two days a week in Chicago.
Summary
A senior middleware engineering role on the myQ video/connectivity platform, building Java-based middleware (Java SE/EE, JDBC, Hibernate, SQL and NoSQL, messaging systems) using Scrum and Kanban. Beyond hands-on development, it includes mentoring junior engineers, leading technical discussions, and coordinating with offshore teams to burn down technical debt. Requires a degree plus about five years of experience and is a hybrid position based in Oak Brook, IL, with ISO 27001 security responsibilities.
Summary
A senior AI engineer role at OneStream Software helping execute AI initiatives within the OneStream platform: bridging AI research and products by owning the full lifecycle of AI and software subsystems — defining requirements, designing systems, project planning and implementation — to enhance the platform's AI capabilities and scalability, while collaborating with Solution Engineering, AI Delivery and Cloud Engineering. Detroit.
AI-keyword evidence: ai engineer
Summary
A senior data engineering role at NinjaTrader, the Chicago-based trading-software and futures-brokerage platform. The engineer builds and scales the data infrastructure and pipelines supporting NinjaTrader's products. Chicago or remote.
AI-keyword evidence: ml engineer
Summary
A senior engineering role at Keeper Security, a fast-growing cybersecurity software company (password and secrets management) trusted by millions of people and thousands of organizations worldwide. The Demo Platform Engineer builds and scales the platform powering customer demonstrations, evaluations, and internal enablement, applying DevOps and AI expertise. Remote, with optional hybrid in the Chicago or El Dorado Hills, CA metros.
AI-keyword evidence: ai
Summary
A senior AI engineering role at DV Trading, a Chicago-headquartered proprietary trading firm (600+ people across North America, Europe, and Asia since spinning out in 2016). The engineer applies AI/ML to the firm's trading and research systems. Chicago or New York.
AI-keyword evidence: ai engineer, production llm
Summary
A data engineering role in a managed-services model, supporting and developing clients' Microsoft Azure data platforms and Power BI environments while responding to incidents and escalations. The work spans building data pipelines, ETL, semantic models, and data-warehouse solutions with the Azure and Fabric data stack (Data Factory, Synapse, Databricks, SSIS/SSRS/SSAS), plus client-facing troubleshooting through a ticketing system. It combines hands-on data engineering with client support responsibilities.
AI-keyword evidence: ai , machine learning
Summary
A staff software engineer at Zero Hash (Chicago) architecting an open-banking data-aggregation platform built as a distributed, client-side automation engine rather than server-side scraping - secure agent-based infrastructure (Chrome Manifest V3 extensions, iOS WKWebViews) talking to a backend over persistent WebSockets. It demands deep browser-internals and security expertise plus strong TypeScript and Go backend skills, wanting 10+ years. A specialized fit for a web-automation/browser-internals expert in fintech.
Summary
Offensive security role conducting threat emulation, red team and purple team operations, and penetration tests against systems, networks, and applications, including lateral movement, privilege escalation, phishing and social engineering, and custom tooling in Python/Bash. Reports to a Director of Cybersecurity; primarily remote with occasional in-person attendance, 5+ years of red-team and pen-test experience, and certifications like OSCP or OSCE preferred.
Summary
An offensive-security role: a Red Team Operator running threat-emulation exercises, penetration tests, and purple-team operations to uncover vulnerabilities across systems, networks, and applications. Requires 5+ years of hands-on red teaming with expertise in phishing and social engineering, lateral movement, privilege escalation, and basic python/bash scripting; certifications such as OSCP, OSCE, or GPEN are a plus. Remote, with occasional in-person attendance at work events.
Summary
A senior platform/data-infrastructure engineer and technical lead on Tempus's Data Products team, designing distributed backend services and data pipelines in TypeScript and Python on Google Cloud (BigQuery, Cloud Spanner, Dataflow) that power bioinformatics, ML, and GenAI work. Carries production on-call responsibility and asks for 8+ years. Hybrid three days a week in Chicago, $150K-$190K.
AI-keyword evidence: ai , ml , genai
Summary
A full-stack software engineering role writing across all tiers with Java/.NET, Angular, TypeScript, and Node.js/AWS Lambda microservices in an agile team. Requires 5+ years on multi-tiered cloud applications and hands-on AI-coding-tool experience; capital-markets exposure is a plus. Stated base $105,000 to $115,000.
AI-keyword evidence: claude code
Summary
An engineering management role leading a cloud infrastructure and DevOps team, combining technical direction with people leadership. Responsibilities include coordinating engineers, determining the technical tasks the team follows, improving structures and processes, developing engineers' careers, and partnering with cross-functional stakeholders to deliver systems. The role balances technical depth with team-building and delivery accountability.
Summary
A senior leadership role owning the end-to-end developer experience and internal engineering platforms at a global bank, building DevSecOps pipelines, developer-productivity metrics, shared services like API gateways and Confluence, and even AI agents that support the software lifecycle. It runs Platform Engineering as a product, defining vision and roadmap and driving common tooling and standards across global engineering teams, so it blends platform strategy with hands-on modernization.
AI-keyword evidence: ai
Summary
A backend Java lead in the Device Management Domain building high-throughput device provisioning, zero-touch enrollment, and lifecycle-management services. You own the domain APIs, scale relational data layers on AlloyDB and PostgreSQL for millions of device records, and architect AI workflows using Anthropic Claude to automate configuration generation and analyze device logs. This is a Chicago hybrid role with mentoring responsibilities.
AI-keyword evidence: ai engineer
Summary
A forward-deployed AI engineer who rapidly prototypes AI solutions for financial-advisor workflows, embedded alongside product managers, UX, and researchers rather than on a production team. The work is fast prototyping with Python, LLMs, and prompt engineering, and the JD explicitly expects fluency with AI coding tools like Claude Code and Cursor. Three to five years of AI engineering experience; hybrid four days onsite in Chicago.
AI-keyword evidence: claude code, cursor, ai engineer
Summary
A director-level Workday technical-architect role at a professional-services firm, architecting and delivering Workday integration solutions for clients — Studio, EIB, Core Connectors, APIs, Extend, reporting, and custom development — plus data conversion and migration. It combines deep Workday technical expertise with engagement delivery oversight, team leadership, and client relationship growth. Asks for 10+ years; Chicago-routed.
Summary
A backend software engineer on Comcast FreeWheel's Identity Service team, building scalable, cloud-native, low-latency Golang microservices on AWS/EKS that power identity resolution, audience targeting, and high-throughput advertising workloads. It involves CI/CD pipelines and modern data ecosystem tools, working across product, architecture, SRE, and data engineering. Best for a Go backend engineer who wants ad-tech and distributed-systems work.
Summary
A senior software engineering role (internally Software Engineer Senior Consultant II) on the Enterprise Payments organization, building and operating Java/J2EE Spring Boot services and REST APIs. Requires 4+ years with Spring Boot, Data, and Security, relational database design, test-driven development (JUnit, Selenium, JBehave), and containerized microservices on Kubernetes and Docker, with CI/CD via GitHub and Jenkins. Remote.
Summary
A Lead AI Engineer at OneStream Software (Detroit area) on the AI Product and Engineering team, helping execute AI development initiatives within the OneStream finance platform. The role oversees the full lifecycle of AI and software subsystems - requirements, system design, planning, and implementation - to enhance the product's AI capabilities, performance, and scalability. The posting is brief but frames it as a hands-on AI engineering leadership seat bridging AI research and product.
AI-keyword evidence: ai engineer
Summary
A client-facing data engineering manager role at Crowe LLP (an accounting and advisory firm), leading engagements that design and build data platforms on Microsoft Fabric, Databricks, Azure Data Factory, and related cloud tools. The position combines hands-on Python/SQL engineering with team mentorship and executive stakeholder management, and sits in the consulting practice rather than an internal product team.
Summary
Senior backend role on Reddit's Core Platform team, which runs the core API platform serving millions of requests and owns the listings, posts, comments and media data models that act as Reddit's sources of truth. The role builds and operates services handling hundreds of thousands of transactions per second against a five-nines availability target, in Go or Python, and includes mentoring more junior engineers on the team. Media delivery depth is called out as expected background, including experience optimizing media performance, scalability and delivery across the stack.
AI-keyword evidence: artificial intelligence
Summary
An identity and access management practice-lead role supporting a large client's IAM integration and migration effort, covering authentication and federation, authorization frameworks, secret management, identity governance (IGA), and privileged access management (PAM). Beyond hands-on solution architecture, the role carries significant pre-sales and business-development responsibility, including proposals, RFP responses, and effort estimation. It blends deep technical IAM delivery with client-facing sales support.
Summary
A hands-on senior full-stack engineer on AbbVie's Unity enterprise design system, building the React/TypeScript component library, design tokens, and developer tooling for a 600+ developer community. A distinctive emphasis is pioneering agentic AI workflows — AI-assisted design-to-code, Claude Code skills, and MCP integrations — while operating autonomously across React/TypeScript, Python/Node.js services, and AI integrations. Pitched as the developer-facing face of the design system; Chicago-routed.
AI-keyword evidence: claude code
Summary
This is a senior network and firewall security engineering role for Cboe's global offices and data centers. The person designs, deploys, migrates, and troubleshoots Palo Alto firewall environments, segmentation, SSL decryption, routing, packet analysis, and secure connectivity across infrastructure and security teams.
Summary
A back-end engineering lead role at Capital One oriented toward data-intensive, distributed processing rather than user-facing interfaces, with the engineer directing a team and stepping in to code or review as needed. The employer states it will consider visa sponsorship for this position.
AI-keyword evidence: ai , ai tooling
Summary
A back-end software engineering role leading a portfolio of projects and a team building cloud-based, distributed-microservice systems that help meet the company's regulatory needs. The work blends hands-on coding with technical leadership and mentoring within an Agile, financial-services setting. The posting states Capital One will not sponsor applicants for employment authorization for this role.
AI-keyword evidence: ai , ai tooling
Summary
A lead data engineering role building full-stack data solutions with big-data and streaming technologies and cloud data-warehousing, supporting analytics and machine-learning-adjacent workloads. It requires several years of application development plus big-data and cloud experience, and the posting does not offer visa sponsorship.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A data-engineering leadership role building and tuning large-scale data pipelines and cloud data-warehousing solutions at Capital One, leading a team of developers experienced in machine learning and distributed systems. The focus is big-data and streaming data infrastructure rather than customer-facing application development, and the employer states it will consider visa sponsorship.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A lead full-stack software engineering role building distributed microservices and cloud-based solutions tied to the company's regulatory needs, blending hands-on development with mentoring of other engineers. This particular posting explicitly offers no visa sponsorship.
AI-keyword evidence: ai , ai tooling
Summary
A senior full-stack engineering role leading projects and a team to build cloud-based, distributed-microservice systems that address the bank's regulatory requirements. It pairs hands-on development with technical leadership, some people management, and mentoring across the engineering organization. Capital One indicates it will consider sponsoring a qualified applicant for employment authorization.
AI-keyword evidence: ai , ai tooling
Summary
A data-engineering lead role on Capital One's Marketing and Messaging team, building scalable data pipelines and platforms that deliver personalized, omnichannel messages across owned and paid ad-tech channels. The emphasis is on data modeling, data quality and pipeline construction as a lead developer guiding a team, rather than customer application development.
AI-keyword evidence: github copilot, claude code
Summary
An AI engineer at OneStream Software (Detroit area) on the AI Product and Engineering team, bridging AI research and shipped product features within the OneStream corporate-performance-management platform. The work spans the ML spectrum — time-series forecasting, anomaly detection, and natural language processing — to make AI capabilities usable for finance customers. A fit for an applied ML/AI engineer focused on productizing models rather than pure research.
AI-keyword evidence: ai engineer
Summary
This is an associate AI engineering role for OneStream Software. The person helps execute AI initiatives within the OneStream platform, bridges AI research and product delivery, and works on machine-learning applications such as time-series forecasting, anomaly detection and natural-language processing.
AI-keyword evidence: ai engineer
Summary
Exchange connectivity engineering for a retail futures brokerage, owning the software that communicates directly with exchanges worldwide across multiple asset classes and protocols. Day-to-day work covers market data handlers, order gateways and instrument reference data processors, exposing exchange services to the rest of the organization through REST, WebSocket and event-bus APIs, and optimizing for low latency, high throughput and fault tolerance. It asks for eight or more years in the trading industry, ideally with C++ or Rust.
Summary
A senior Identity and Access Management engineer at Ensono specializing in the ForgeRock platform — administering and tuning AM, IDM, DS, and Identity Gateway for high availability while building custom authentication journeys, scripts, and plugins in Java, JavaScript, or Groovy. It blends L3 operational support (SSO, federation, MFA, Zero Trust) with hands-on engineering and CI/CD/containerized deployment. Requires 6+ years in IAM with 2+ in ForgeRock; a specialist identity-engineering role.
Summary
A contract Software Engineer at Civis Analytics (Chicago) developing high-quality software alongside engineers, data scientists, and product managers - building user interfaces in React and web applications with Rails, Django, or Node, working with SQL, and integrating AI tools like Claude Code and Copilot. It wants 1-2 years of professional development experience. It is a 6-month contract through December 2026 at $90k. A fit for an early-career full-stack developer comfortable with React and AI-assisted development.
AI-keyword evidence: github copilot, claude code
Summary
This is a front-office trading technology developer role. The person partners with traders, quants, and other technology teams to design and build high-performance full-stack solutions in Java and Python for options-market-making workflows, with a posted salary range of $150k to $250k.
AI-keyword evidence: ai , artificial intelligence
Summary
An integration-engineering role at logistics company RXO focused on EDI and API middleware, doing hands-on work with Apigee, IBM Sterling/B2Bi/SFG, message queues (IBM MQ, Kafka, RabbitMQ), and data-mapping technologies (XML, XSLT, XPATH), plus L2/L3 production support. Requires a bachelor's degree and about one year of integration-engineering experience.
Summary
A solution architect embedded within Plante Moran's management consulting practice, responsible for rationalizing and governing the practice's technology stack — evaluating tools, designing integrations, defining end-to-end solution architectures, and representing the practice in enterprise architecture governance forums. This is a consulting-firm internal IT architecture role, not client-facing consulting; the JD requires 10+ years across multiple architecture domains and a relevant degree. The role partners with enterprise, platform, and foundational architects across the firm.
Summary
A senior QA automation engineering role at Morningstar defining the automation strategy and frameworks and building end-to-end web automation in Python, using GitHub Copilot where appropriate. Chicago, hybrid with four days onsite; also helps establish AI standards for the QA group.
AI-keyword evidence: github copilot, vector database
Summary
A lead-consultant web CMS engineering role centered specifically on Sitecore rather than general application development. The work is full-time pair-programming and test-driven development building headless websites on the Sitecore Experience Accelerator, plus feature design and coaching of less-experienced team members. Remote.
Summary
This is an architecture-and-technical-design role rather than a generic title-only opening. The JD points to hands-on work around CI/CD automation and AWS, so the fit depends on wanting that specific slice of the role.
Summary
Behind the IT Ops title, this is a senior DevSecOps engineering role at Wolters Kluwer supporting and enhancing an enterprise cloud platform. The work centers on CI/CD pipelines, infrastructure as code, automated deployment, monitoring, and performance optimization, applying SRE principles and partnering with Cloud Operations, Security, and Compliance. It emphasizes hands-on platform automation and secure engineering practices within a mature software organization.
AI-keyword evidence: ai , generative ai
Summary
This is a software-development role rather than a generic title-only opening. The JD points to hands-on work around CI/CD automation, so the fit depends on wanting that specific slice of the role.
Summary
This is a software-development role rather than a generic title-only opening. The JD points to hands-on work around CI/CD automation and mobile engineering, so the fit depends on wanting that specific slice of the role.
Summary
This is a lead security engineering role for OCC's hybrid infrastructure. The person maintains cloud and on-premises security integrity, enforces security-as-code standards, leads critical cloud service rollouts, builds automation pipelines for provisioning and compliance, partners on secure cloud technology deployments, and improves security processes and tools.
AI-keyword evidence: claude code
Summary
This is a security-engineering role rather than a generic title-only opening. The JD points to hands-on work around AWS, Azure, and GCP, so the fit depends on wanting that specific slice of the role.
AI-keyword evidence: ai
Summary
This is a security-engineering role rather than a generic title-only opening. The JD points to hands-on work around Kubernetes, CI/CD automation, and AWS, so the fit depends on wanting that specific slice of the role.
AI-keyword evidence: ai
Summary
A senior data engineering role building and operating large-scale cloud data pipelines and warehousing for a financial-services platform, while leading a team of developers. Emphasis falls on distributed data-processing tools, real-time and streaming data, and rigorous code quality and performance tuning. The posting indicates Capital One will consider sponsoring a qualified applicant for work authorization.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A data engineering role contributing to large-scale cloud pipelines and warehousing within a financial-services team rather than formally leading it. The role stresses distributed data and computing tools, streaming data, and well-tested, performant code alongside mentoring. This posting states Capital One will not sponsor applicants for employment authorization.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A senior individual-contributor engineering role leading full-stack development across distributed microservices and cloud systems built to help meet the company's regulatory needs. People-management experience is preferred but this is primarily a hands-on technical leadership position, and the employer states it will consider sponsoring work authorization.
AI-keyword evidence: ai , ai tooling
Summary
A full-stack engineering lead role at Capital One combining hands-on development with oversight of a developer team and a slate of projects tied to the bank's customer-facing and regulatory systems. The listing states that no visa sponsorship or immigration support is available for this role.
AI-keyword evidence: ai , ai tooling
Summary
A software engineer on Supernova Technology's API team (Chicago), designing, developing, and maintaining the API platform - architecting scalable RESTful services with OAuth security in Java, optimizing performance, and owning code reviews, testing, and the API roadmap. It blends hands-on API engineering with documentation and standards work. A fit for a backend engineer who likes API platform work and clean, well-tested code.
Summary
IAM analyst role within UL Solutions' Global Cybersecurity team, supporting implementation and ongoing management of identity and access management solutions — provisioning, governance, and compliance with SOX/HIPAA/GDPR frameworks. Requires 3-5 years of IAM experience with tools like Azure AD, Saviynt, SailPoint, or Okta. Hybrid (3 days onsite) if near a UL office, otherwise fully remote.
Summary
Senior AI/ML engineering role on iManage's Applied AI team owning the end-to-end ML lifecycle for production AI features - a generative-AI document assistant plus document classification and extraction - and deploying LLM systems on GPUs and Kubernetes. Requires Python, PyTorch/Hugging Face, and model fine-tuning experience; in-office Tuesdays and Thursdays.
AI-keyword evidence: ai engineer
Summary
A senior software engineer role focused specifically on building agentic AI systems using LLMs, RAG, MCP, and orchestration frameworks like LangChain, LangGraph, and CAMEL. It calls for 8+ years of software engineering with at least 1+ years on LLM/agentic work, strong Python, and experience with vector databases (FAISS, Pinecone, Weaviate); the role is hybrid.
AI-keyword evidence: rag pipeline, vector database
Summary
A senior engineering role building agentic AI systems using LLMs, RAG, MCP, and orchestration frameworks like LangChain and LangGraph on Chamberlain's myQ platform. Requires 8+ years of software engineering with at least 1 year on LLMs or agentic AI, strong Python, and vector-database experience. This is a hybrid position.
AI-keyword evidence: rag pipeline, vector database
Summary
A data-engineering lead position at Capital One focused on constructing distributed, real-time data pipelines and cloud data-warehouse solutions while directing a team of engineers experienced in machine learning and distributed computing. The role is oriented to big-data infrastructure rather than app development, and the posting states the employer will consider visa sponsorship.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A data engineering role developing and supporting large-scale cloud data pipelines and warehousing within a financial-services engineering team. It emphasizes distributed data-processing tools, real-time and streaming data, and disciplined unit testing and code review, pairing hands-on delivery with mentoring of other engineers. Requirements center on application development along with big-data and cloud fundamentals.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A full-stack engineering role on Capital One's card-issuance and payments platforms, combining hands-on coding with leadership of a project portfolio and a team of developers building high-resiliency, low-latency financial services. The work centers on modernizing critical payment infrastructure at scale, and the employer states it will consider visa sponsorship for this position.
AI-keyword evidence: ai , ai tooling
Summary
A senior FP&A analyst role for PEAK6's shared-services finance team, not a software engineering role. The work is financial analysis, forecasting, reporting, and business-insight support across PEAK6 and subsidiaries.
Summary
A software engineering role on the Orders team at online ticket marketplace Vivid Seats, building and scaling the systems that handle order acquisition and drive marketplace revenue. The role emphasizes production ownership and creative algorithm work on a high-traffic e-commerce platform, and the company actively incorporates AI tools into its engineering workflows.
AI-keyword evidence: ai
Summary
Web designer and developer supporting the University of Chicago's Enrollment and Student Advancement division, focused on sites for student career programs, master's recruitment and college-access initiatives. The work blends web development with design, content and outreach — maintaining accessible UIs and content, managing visual-asset libraries, and coordinating with project leads. More a communications-oriented web/design role than pure software engineering; on-site in Chicago.
AI-keyword evidence: ai , llm, ai-assisted
Summary
A data architecture role for Federal Reserve economic-data platforms such as FRED and FRASER. The job designs cloud data models, metadata, governance, indexing, and processing patterns for large public time-series and archival datasets.
AI-keyword evidence: ai , machine learning
Summary
A Salesforce platform specialist, not a general software role: you lead Apex development and mentor junior developers in Morningstar's large Corporate Salesforce org (Sales Cloud, Service Cloud, CPQ, Agentforce). Requires 5+ years on the Salesforce platform plus some lead experience, with CI/CD tools like Gearset a plus; the JD says no visa sponsorship. Hybrid, four days onsite in Chicago.
Summary
A hybrid cloud-and-automation systems engineering role for IAT's infrastructure and Microsoft 365 environment. The work builds Azure, Entra ID, Microsoft Graph, PowerShell, infrastructure as code, Windows Server / Active Directory, Microsoft 365 operations, and runbooks that reduce manual cloud and on-prem administration.
Summary
A senior AI and Guidewire engineering role focused on designing, developing, and integrating business applications at CNA. The role defines AI-first engineering practices for Guidewire and insurance-domain systems, while guiding teams through architecture, development, integration, and testing.
AI-keyword evidence: github copilot, cursor, ai engineer
Summary
A senior AI engineering role driving AI-first delivery practices across CNA enterprise platforms, with Guidewire experience called out as important. The job combines cloud-native solution design, AI-assisted engineering tooling, standards, mentoring, and insurance-domain platform work.
AI-keyword evidence: github copilot, cursor, ai engineer
Summary
A solution architect embedded by portfolio (typically about five value streams) who owns solution design and technical ownership, aligning designs to enterprise guardrails alongside enterprise, security, data, and infrastructure architects. This is design-and-governance work, not hands-on coding. Hybrid at the Beloit, Wisconsin campus or downtown Chicago office.
AI-keyword evidence: genai
Summary
A summer 2027 internship designing FPGA-based hardware to accelerate network infrastructure and trading-system components at a low-latency proprietary trading firm. Interns write HDL (VHDL, Verilog, or SystemVerilog) for digital designs targeting nanosecond response times, working alongside traders, software developers, and infrastructure engineers. It targets Computer or Electrical Engineering students on track to graduate between December 2027 and June 2028.
AI-keyword evidence: ai
Summary
Cloud and platform engineering at an options market making firm, working across the trading, development, infrastructure, and operations teams on a hybrid-cloud estate. The role provisions, configures, and monitors Kubernetes on both EKS and on-premise clusters plus Spark, Kafka, and large-scale distributed databases, and automates infrastructure and delivery pipelines with Terraform, Ansible, Jenkins, and GitLab while improving cloud governance and security. The posting states the role is available hybrid from the Chicago office or fully remote, and asks for 3 or more years in platform, cloud, SRE, or DevOps work.
Summary
A 6-month contract role (with possible extension or conversion) building the security and governance layer for enterprise AI rather than writing application code. The work is AI-specific threat modeling and controls — defending against prompt injection, data poisoning, model theft, and privacy leakage — plus authoring acceptable-use policies for generative AI, data-classification rules for training sets, and security standards for AI/ML pipelines. Suited to a security architect comfortable owning AI risk from the ground up at a consulting firm.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm, openai, generative ai
Summary
A senior Azure solution architect at 3Cloud leading architecture and technical strategy for enterprise-scale Azure programs. At this level the work reaches beyond a single domain, guiding delivery teams, shaping modernization approaches, and influencing architecture strategy across projects and practices. It suits an architect ready to pair deep technical expertise with cross-domain leadership on enterprise transformation.
AI-keyword evidence: ai , machine learning
Summary
A staff Scala engineering role for NinjaTrader's trading platform. The role is senior backend systems work in a fintech/trading environment, suited to someone who wants technical ownership of Scala-based production services.
Summary
A Senior Software Engineer, C++ (Algo) role at trading firm DRW, embedded on an algorithmic trading desk alongside quant researchers and traders. You build exchange gateways, strategy execution, risk management, and market-data systems across the full stack. Chicago office only — a high-performance, low-latency trading engineering role.
AI-keyword evidence: ai
Summary
This is a software-engineering role rather than a generic title-only opening. The JD reads like a practical delivery role, so the real fit depends on whether the stated systems and ownership match what you want to build.
AI-keyword evidence: ai
Summary
A DevSecOps platform-architecture role defining AbbVie's engineering platform across source control, CI/CD, artifact management, cloud, and AI-assisted dev tools (GitHub, AWS, JFrog, Claude Code). Focused on standards, developer experience, delivery velocity and security posture rather than feature code. For a senior platform or DevSecOps architect.
AI-keyword evidence: claude code
Summary
An advanced cloud engineering role serving as an escalation point for complex Zebra cloud infrastructure issues. The work includes architecture artifacts, automation, secure cloud design, RBAC and zero-trust access controls, vulnerability response, FinOps, monitoring, operational support, and reliability/scalability improvements for cloud data-center environments.
AI-keyword evidence: ai
Summary
A principal full-stack software engineer role on Salesforce's Event Technology team, building the technology stack that powers in-person, digital, and on-demand experiences across Salesforce's event portfolio. The work sits within Salesforce's AI-CRM and Agentforce direction. A fit for a principal full-stack engineer who wants to own an internal product platform at a large SaaS company.
AI-keyword evidence: cursor
Summary
A Lead AI Engineer role at Ovative Group (Minneapolis area), the technical owner of the company's AI workflow infrastructure for its 500-plus practitioners. The work designs and builds the integration layer connecting the enterprise AI platform to everyday tools and data sources, architects multi-step workflow orchestration and write-back logic, and owns the security and governance framework (access controls, audit logging, SOC2). Success is measured by non-engineers building workflows without engineering involvement.
AI-keyword evidence: ai engineer
Summary
An MLOps automation senior lead engineer role at Huntington Bank, streamlining the data, analytics, and model-development lifecycle by building automation to turn data-pipeline and model builds into unattended delivery pipelines. The work sets MLOps strategy and partners with data engineering, architecture, QA, and security. A fit for an engineer who specializes in MLOps and delivery automation in financial services.
Summary
A Java/J2EE application developer role at a bank, building and maintaining server-side applications and batch processes plus UI work in JavaScript and the Dojo framework. The work includes designing RESTful APIs for modernization and integration, tuning SQL/database queries, and integrating with enterprise backends, with preferred exposure to IBM FileNet content management and WebSphere. Requires 3-5+ years of Java/J2EE experience; the role is office-based, does not offer visa sponsorship, and posts a compensation range of 57,000 to 113,000 USD.
Summary
A senior programmatic real-time-bidding (RTB) software engineer on Comcast FreeWheel's video ad platform, building and supporting high-scale ad systems that process billions of daily requests and terabytes of data. The posting is virtual/remote and tied to FreeWheel's New York engineering group. Best for a senior engineer with programmatic/RTB ad-tech experience who wants remote work.
Summary
A staff engineer at a warranty and F&I administration software company, leading technical design and architecture across squads, mentoring engineers, and translating ambiguous business problems into technical strategy with high autonomy. Chicago.
AI-keyword evidence: github copilot
Summary
A senior applications developer in Knoxville building and modernizing custom enterprise solutions across Jira, Java applications, and Azure .NET web apps, and leading a Jira/Confluence migration from Data Center to Atlassian Cloud while mentoring junior developers. It requires a degree plus twelve years of experience, hands-on Java/JavaScript and .NET, 4-6-plus years of Azure and Atlassian Cloud migration experience, and responds to cybersecurity alerts affecting IIS and web servers.
Summary
An expert-level systems engineer role at Ensono serving as the top technical authority for IBM AIX and Power Systems environments. The work owns platform architecture, large-scale migrations, performance engineering, automation, and resiliency for business-critical workloads, with deep expertise in PowerVM, VIOS, and HMC environments. It suits a senior AIX and IBM Power specialist who sets architecture standards rather than handling routine administration.
Summary
Infrastructure engineering on the Data Infra team, building and operating the platform that Chime's data engineers run on: deploying Airflow, Flink and chalk.ai environments and owning the DynamoDB and RDS storage layer. Day to day the work is Terraform infrastructure-as-code, production Kubernetes workloads, and reliability improvements across observability, capacity planning and operational hygiene. Roughly two to four years of infrastructure, platform or backend engineering experience is expected.
Summary
A hands-on engineering role building reference implementations, starter kits, and evaluation harnesses that Salesforce partners can fork and deploy on Agentforce. You review partner AI agent architectures for retrieval strategy, guardrails, observability, cost, security, and production readiness, and coach partner engineers through design clinics. The emphasis is strong engineering judgment and applied AI fluency over prior Salesforce experience.
AI-keyword evidence: ai , artificial intelligence, llm
Summary
A principal AI engineering role for CNA underwriting and operations workflows. The work is agentic system design, applied AI solution development, LLM tooling, enterprise software delivery, and scaling AI-enabled underwriting systems with durable engineering practices.
AI-keyword evidence: ai engineer
Summary
A Salesforce platform developer inside Chamberlain Group's enterprise applications team, building and supporting SFDC functionality with Apex, Lightning Web Components, Flows, and Visualforce. It requires a Salesforce Developer certification and 3+ years of hands-on SFDC development, plus production support and integration work using SOAP/REST/XML.
Summary
Senior vulnerability analyst joining Cboe's Global Vulnerability Management team, responsible for operating a risk-based vulnerability management program — scanning, risk analysis, remediation coordination with global infra teams, and building automation to scale detection and reporting. Four-day in-office model at Cboe's Chicago HQ; role is in financial market infrastructure, a regulated environment with significant audit expectations.
AI-keyword evidence: claude code, cursor
Summary
This is a data-and-analytics engineering role rather than a generic title-only opening. The JD points to hands-on work around RAG workflows and machine-learning workflows, so the fit depends on wanting that specific slice of the role.
AI-keyword evidence: machine learning engineer
Summary
An automation developer at Old National Bank building process-automation solutions within the bank's technology organization. Surfaces on the Indianapolis and Minneapolis boards; a fit for a developer focused on workflow and RPA-style automation in financial services.
Summary
A consulting security architect role centered on modernizing client security operations centers: assessing current-state SOC capability across people, process, data, governance, and tooling, rationalizing fragmented platforms, and designing future-state operating models built on SIEM and SOAR, detection engineering, automated enrichment, and AI-assisted or agentic investigation workflows with human-in-the-loop decisioning. The output is strategy and roadmaps tied to cyber maturity, regulatory obligations, and staffing models, delivered through executive workshops with CIOs, CISOs, and cyber defense leaders. Strong preference for candidates who have modernized SOCs for energy and utilities or other critical infrastructure clients, with Google SecOps experience called out as a plus though the role is intentionally platform-agnostic.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
Enterprise technology architecture consulting rather than an in-house build role: advising clients on cloud architecture, data platforms, enterprise applications, and integration strategy, and running technology assessments, gap analyses, and roadmap development. Delivery responsibility extends through implementation projects, alongside mentoring junior team members and supporting proposals and pre-sales for the Technology Advisory practice. Asks for 8+ years in technology strategy, architecture, or implementation with expertise across AWS, Azure, or Google Cloud and enterprise architecture frameworks; 30-50 percent client-site travel, hybrid at two days a week in office, and no visa sponsorship.
AI-keyword evidence: ai , artificial intelligence, gpt
Summary
Backend engineering on the trading services team of a retail futures brokerage, building Scala services that run in Kubernetes and distribute large volumes of data for the trading platform. The work covers microservices architecture for trading applications, distributed systems built for high throughput and low latency, container orchestration, and monitoring and logging that tracks backend performance in real time.
Summary
A senior DevOps engineer on a small team that builds and operates the infrastructure powering DV Trading's trading systems, which was built from scratch in 2025 and is now owned end-to-end. The work is Kubernetes at scale (Cluster API, bare-metal provisioning), an on-prem observability stack (Mimir, Loki, Tempo, Grafana, OpenTelemetry), CI/CD, and orchestration, with real ownership from day one. Best for a senior DevOps/platform engineer who wants deep Kubernetes and observability work.
AI-keyword evidence: ai , ml , ai-assisted
Summary
Leads and scales a pre-sales solution engineering team at Informatica, a Salesforce company, coaching engineers to translate complex enterprise data environments into outcome-driven AI and Data First strategies for customers. A customer-facing, sales-aligned management role rather than hands-on software development.
AI-keyword evidence: ai , artificial intelligence, generative ai
Summary
An Editorial Automation engineer who builds the systems that turn Morningstar's structured financial data into automated journalism — articles, charts, and tables — using Python, R, or SQL and event-driven AWS (Lambda, EventBridge). The JD frames it as fundamentally a software-engineering role despite the editorial domain, asking for 3+ years and no visa sponsorship. Hybrid, four days onsite in Chicago.
Summary
This is a senior data engineering role for Conagra's analytics and self-service reporting environment. The person builds Databricks, PySpark, SQL, Snowflake, and Azure-backed pipelines, dashboards, and data models, with a hybrid three-days-in-office expectation and a posted salary range of $82k to $120k.
AI-keyword evidence: ai
Summary
This is a people-management data-science leadership role at a smart-access hardware company, hiring, coaching, and directing a team of data scientists rather than an individual-contributor position. The work drives adoption of predictive and prescriptive analytics across the business and manages relationships with outside data-science vendors. Requires a master's degree in a quantitative field, 8-plus years of experience, and prior experience directly managing data scientists.
AI-keyword evidence: machine learning
Summary
A backend-plus-AI role on Abbott's Go-based healthcare cloud: building cloud-native SaaS services and data workflows, then designing the AI layer — model integrations, inference services, and evaluation workflows — that powers health-insight features. The compliance surround is real (medical-device software, security standards), but the day-to-day is hands-on Go and AI-capability engineering. Abbott Park based.
AI-keyword evidence: ai engineer, vector database
Summary
An FPGA engineering role for Headlands' trading systems. This is hardware-adjacent low-latency engineering rather than application development, aimed at someone comfortable building and optimizing FPGA-based components for market-facing systems.
Summary
A principal, organization-wide architect at 3Cloud leading architecture for large Azure programs that span applications, platforms, and data. The person connects business goals to cloud-modernization roadmaps, defines architecture frameworks, orchestrates cross-team discovery, and turns successful patterns into reusable models while championing automation and AI-assisted engineering. It is aimed at a top-tier architect who sets direction across an entire practice rather than a single project.
AI-keyword evidence: github copilot, cursor, vector database
Summary
Full-stack product engineering role at a software review marketplace, building new products and features end to end and owning implementation quality from architecture through release. The posting puts heavy emphasis on AI: designing product features and agents that use frontier models with prompting, and adopting agent-first ways of working in the development lifecycle. Roughly 60 percent of the role is described as building new products and features across the stack rather than specializing in one layer.
AI-keyword evidence: claude code
Summary
An associate IAM engineer (1 to 3 years) at a precision-medicine AI company configuring SAML and OIDC SSO integrations, troubleshooting Okta as Tier 2/3, maintaining lifecycle automation, and supporting device assurance and access certifications. Chicago.
AI-keyword evidence: ai
Summary
An applied research engineer at Salesforce (multiple cities including Indianapolis) embedding in the AI team to turn generative-AI and agentic research into production-ready, secure services for CRM at hyperscale, working directly alongside research scientists. A research-to-production AI systems engineering role.
AI-keyword evidence: ai , ml , artificial intelligence, generative ai
Summary
A director of software engineering and architecture at Comcast FreeWheel, leading the Audience and Measurement software org with a focus on ingestion of first-, second-, and third-party segment, taxonomy, and metadata. The role owns the engineering strategy and roadmap for Snowflake-based data platforms and downstream marketing data products, with SLA enforcement. For a software engineering director strong in data platforms and ad-tech.
Summary
A director-level system architecture role owning CNA's shared enterprise AI platform. The work translates AI platform strategy into reliable, governed platform capabilities, sets engineering standards, guides the roadmap, and coordinates closely with product, enterprise architecture, and release leadership.
AI-keyword evidence: vector database
Summary
A principal AI platform engineering role at the intersection of developer experience and software delivery. The job designs reusable agentic workflows, AI-assisted CI/CD, skills and agent frameworks, and quality and security guardrails that let CNA teams build AI-native systems.
AI-keyword evidence: github copilot, claude code, cursor, agentic workflow, agentic workflows, ai engineer
Summary
A senior developer-experience platform role building CNA's AI-native software-delivery stack. The work spans internal developer portals, CI/CD and continuous testing, GitHub Actions, ArgoCD, Harness, Veracode, SonarCloud, JFrog Xray, container templates, and AI agentic SDLC automation.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A senior cloud engineer at an exchange operator that runs financial market infrastructure for trading, clearing, and investment products. The posting stresses in-office collaboration and team connection. Listed for both Kansas City and Chicago.
Summary
The Senior Distinguished Engineer tier for the Global Payment Network — setting technical direction across multiple domains and mission-critical payment platforms with executive partnership, scaling agentic-AI patterns across engineering teams. Remote-eligible (one of the few in this cluster), with Riverwoods among listed sites.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
A Distinguished Engineer for the Global Payment Network — evangelizing the technical vision for a portfolio of payment applications, decomposing complex problems, and explicitly leveraging agentic AI to accelerate modernization of the network's systems. A most-senior IC rung; McLean, Dallas, Richmond, and Riverwoods listed.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
Principal software engineering role in OCI Network Region Build, developing the software platforms, automation, APIs, and services that support Oracle's global network deployment and lifecycle management. Works at the intersection of software engineering, distributed systems, and networking, with occasional travel to data centers.
AI-keyword evidence: github copilot
Summary
A software-engineering delivery leader for cloud-based tax products within an accounting firm, covering Partnership, Corporate, Indirect, and Strategic Tax service lines. The director owns product technology strategy and architecture, builds and leads cross-disciplinary agile development teams, and serves as technical architect for platform-level solutions while coordinating with national IT on governance and security. It is a people-leadership position with direct supervisory and mentoring responsibilities.
AI-keyword evidence: ai , artificial intelligence, openai, anthropic, genai
Summary
A lead data engineering role architecting cloud-native data platforms on Google Cloud, with BigQuery as the analytical backbone and unified batch and streaming pipelines built on Dataflow (Apache Beam), Dataproc, and Pub/Sub. Covers infrastructure-as-code with Terraform, open table formats (Apache Iceberg), and data governance and lineage (Dataplex, Data Catalog), plus mentoring engineers. Remote.
Summary
A product-focused data analyst role supporting Product Management, Product Marketing, and executive teams at SevenRooms (a DoorDash organization), owning feature-launch analytics, funnels, adoption and retention measurement, and product-led-growth instrumentation. The role connects product-usage signals into tools like Salesforce and Gainsight and applies SQL and product-analytics platforms to ship scoped recommendations rather than just dashboards.
AI-keyword evidence: ai , ml , genai
Summary
Cloud infrastructure architecture and consulting role serving as technical delivery lead on client engagements, with broad hands-on Azure expertise across infrastructure, networking, security, automation, and cloud migration. Delivery is driven through Infrastructure-as-Code (Bicep or Terraform), and the role carries a utilization target and pre-sales support duties. Remote.
AI-keyword evidence: ai
Summary
A senior cloud engineering role at Zebra focused on automation, security, cost management, and operations across AWS, Azure, or GCP. The work includes scripting routine cloud tasks, zero-trust and least-privilege controls, vulnerability remediation, FinOps, cloud/data-center support, infrastructure troubleshooting, metrics, and occasional L3 escalation/on-call support.
AI-keyword evidence: ai
Summary
A senior AI software engineering role building enterprise AI applications with LLMs, RAG, prompt workflows, and agent-based patterns. The work emphasizes model quality, latency, cost, safety, security, compliance, and production architecture for business-aligned AI systems.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A people-management role leading a team of cloud engineers and architects on Chamberlain Group's myQ Cloud Engineering platform, primarily Azure. The focus is team leadership — hiring, 1:1s, performance reviews, capacity planning, budget and vendor management — alongside driving IaC, DevOps practices, and incident response. ISO 27001 security compliance is an explicit part of the role.
Summary
Full-stack engineering at Capital One that combines coding with team and project leadership on cloud-based systems serving card customers and meeting regulatory needs. This is a delivery-focused lead role, and the posting explicitly notes that no visa sponsorship or immigration support is available.
AI-keyword evidence: ai , ai tooling
Summary
A principal cloud architect role defining multi-year, enterprise-wide cloud strategy centered on Google Cloud (with AWS as a secondary platform), establishing governance frameworks, architectural standards, and reusable patterns. Hands-on with GKE, Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner, and drives DevSecOps, security posture, and multi-cloud integration. Combines technical advisory, architecture leadership, and mentoring cloud engineers. Remote.
AI-keyword evidence: ai , generative ai
Summary
Applied machine learning role supporting Chime's growth and marketing work, developing foundational transformer and sequential deep learning models that turn behavioral and financial data into personalized experiences, recommendations and communications for members. It also covers the infrastructure for training, serving and monitoring large-scale models in both batch and real-time settings, plus experimentation frameworks and optimization strategies, in close partnership with growth, marketing, product and engineering teams. The expected background is deep learning applied outside traditional NLP, work with large-scale transactional or behavioral datasets, and a strong MLOps orientation toward production systems.
AI-keyword evidence: ml engineer
Summary
Principal security-architecture consulting role delivering enterprise Azure security engagements: identity and access management (Microsoft Entra ID, Conditional Access, PIM), Zero Trust controls, and Microsoft Purview data protection and AI governance. Primarily delivery-focused with roughly 25-30% of time on sales support and solution development; 12+ years required, remote in the US.
AI-keyword evidence: ai , copilot
Summary
A staff full-stack engineer at Upside building AI-native internal platforms that help go-to-market teams manage pipeline, analyze performance, and automate operational workflows. Reporting to the Senior Director of Revenue Operations, the role works at the intersection of engineering, AI, and business operations and helps define architecture and technical direction. Best for a staff full-stack engineer who enjoys translating GTM business workflows into reliable software.
AI-keyword evidence: github copilot, vector database
Summary
A principal backend engineer on FedNow, the Federal Reserve's 24x7x365 real-time instant-payments settlement service (part of Federal Reserve Financial Services). The stack is concrete: Java, Spring Boot, AWS, and JUnit. It is national payments-systems engineering at the principal level, posted across multiple Reserve Bank districts; no visa sponsorship and a background investigation apply.
Summary
An associate data-operations engineering role at a professional-services firm serving healthcare clients, building and maintaining data pipelines and Power BI datasets/semantic models, ensuring data quality, and upholding compliance for sensitive healthcare data. It is hands-on data engineering across client cloud environments with a consulting and mentoring component. Chicago-routed, an entry-level seat.
Summary
Technical enablement and education role driving AI adoption across a proprietary trading firm, designing and delivering training programs and curricula, building a network of local and train-the-trainer instructors, and establishing partnerships with content and training vendors. Requires hands-on AI fluency to build demos, workflows, and training material plus executive stakeholder management, oriented toward developer-relations or tech-evangelist backgrounds rather than shipping product software. US work authorization required with no sponsorship.
AI-keyword evidence: ai engineer
Summary
A mainframe systems programming role supporting z/OS at the operating-system level, covering installation, maintenance, configuration, tuning, and debugging of systems software such as tape management, scheduling, security, and monitoring, and it explicitly states this is not an applications programming position. Day-to-day work centers on incident, change, and problem handling, PARMLIB and JES2 configuration, and vendor coordination, with participation in an on-call schedule. This is infrastructure and systems support rather than software development, and it is remote within the United States.
Summary
An associate-principal security engineer at the options clearinghouse managing privileged access systems (CyberArk, HashiCorp, PKI) with 24x7 support and AI-based security capabilities. This appears to be a second opening of the same role as REQ-4436. Chicago.
AI-keyword evidence: claude code
Summary
A principal AI-engineering role serving as the technical anchor of OCC's new AI Research and Engineering team, a senior individual-contributor position with no people management, architecting and building agentic AI systems that connect AI agents to real enterprise workflows in a heavily regulated market-infrastructure environment. The team works directly with AWS and Anthropic, accessing Claude models, so it suits a hands-on engineer who leads through technical excellence.
AI-keyword evidence: ai engineer
Summary
A hands-on cloud security engineering role protecting Azure and AWS environments by writing Policy-as-Code and Infrastructure-as-Code in Terraform, aligning controls to CIS and NIST 800-53, and running CSPM tooling like Wiz and Microsoft Defender for Cloud. Day to day mixes security assessments, incident investigation, and mentoring, so strong Terraform, Python, and CI/CD skills matter more than the title. Roughly 8 to 12 years of IT experience is expected.
Summary
A production-test engineer who designs and builds both test hardware and software for testing new products on the manufacturing line. The work centers on improving test yields, cutting test time, increasing capacity, and evaluating equipment designs for manufacturability, cost, and reliability using statistical tools, with strong RF knowledge preferred. Coding ability is listed as a plus rather than the core of the job.
Summary
The junior version of Morningstar's forward-deployed AI prototyping role — building quick AI prototypes for advisor workflows with Python, LLMs, and prompt engineering, working beside PMs, UX, and researchers. Targeted at one to two years of AI engineering experience, with hands-on use of AI coding tools like Claude Code or Cursor expected. Hybrid, four days onsite in Chicago.
AI-keyword evidence: claude code, cursor, ai engineer
Summary
A senior threat-hunting security engineer at an exchange operator, proactively hunting threats across the firm's market-infrastructure environment. Chicago.
Summary
A Workday platform-engineering role focused on building and maintaining integrations (using Core Connectors, Workday Studio, custom reports and RaaS) across HR modules, and serving as the primary technical and business contact for how the system works, including production support and troubleshooting. It is enterprise-application integration and support work within Workday rather than general software product development, and no visa sponsorship is offered.
Summary
A senior GCP cloud-architect role at consulting firm West Monroe, serving as the lead architect and trusted advisor for enterprise clients' Google Cloud migration and modernization programs. You would define cloud strategies aligned to client goals, assess current-state IT and build future-state transformation roadmaps, architect secure, scalable GCP solutions, lead large-scale on-prem-to-GCP migrations (landing zones, governance, execution), implement infrastructure-as-code (Terraform) and DevOps transformation, and drive cost optimization — plus support business development and mentor other architects. A fit for someone with 10+ years in cloud architecture and proven enterprise-scale GCP migration leadership; based in Chicago (or other US offices).
AI-keyword evidence: ai , artificial intelligence, gpt
Summary
A senior ServiceNow developer at DRW, configuring and extending the firm's ServiceNow platform for internal IT and workflow automation. A ServiceNow-platform specialist role (not core trading systems) at the Chicago prop trader.
AI-keyword evidence: ai , generative ai
Summary
A staff-level backend engineer setting the technical direction for the platform behind Cameo, the Chicago marketplace where fans buy personalized videos from celebrities and creators. Senior individual-contributor work on the core systems that connect fans and talent. On-site at Cameo's downtown Chicago headquarters.
AI-keyword evidence: claude code, cursor
Summary
A senior IAM engineer (II) at a precision-medicine AI company architecting and scaling its Okta tenant (SAML, OIDC, OAuth 2.0), building Okta Workflows lifecycle automation, managing AD-to-cloud identity sync, and serving as the Tier-3 authentication expert. Chicago.
AI-keyword evidence: ai
Summary
A senior application architecture role on HCSC's Intelligent Delivery Platform. The work defines how data pipelines, databases, AI services, middleware APIs/MCP, and application components fit together, with Python, React, Azure AI Foundry, LangChain/LangGraph/LangFuse, vector databases, DevOps, Mulesoft, and Databricks in scope; no sponsorship is offered.
AI-keyword evidence: vector database
Summary
This is a principal SAP platform engineering and Basis operations role for Ecolab. The person leads SAP roadmap and architecture work, implementations, upgrades, migrations, monitoring, refreshes, troubleshooting, automation, SAP BTP administration, and ServiceNow-backed incident, problem, and change processes.
AI-keyword evidence: ai
Summary
A back-end (server-side) engineering role at Capital One centered on distributed microservices and cloud services, where the lead guides a team and is periodically asked to code or review code alongside them. Unlike the bank's full-stack listings this one is explicitly back-end focused, and the employer states it will consider visa sponsorship.
AI-keyword evidence: ai , ai tooling
Summary
A lead cryptographic engineer securing Capital One's cloud platforms: cryptographic solutions, key management, and enterprise security platforms for data-security services, built on serverless architecture that hundreds of teams consume. Deep crypto-engineering specialization; Riverwoods is among six listed sites.
AI-keyword evidence: machine learning
Summary
The fully-remote twin of Abbott's Senior SDET opening: design and code test-automation frameworks (Python; Appium, Selenium, Robot) for regulated product software, with the large majority of the day spent writing automation code rather than executing manual tests. Remote US.
Summary
A hands-on SDET role the JD describes as almost entirely coding: building automation frameworks for unit, integration, UI, and mobile testing in Python with Appium, Selenium, and Robot, adapted to medical-device regulatory requirements. Exploratory testing only as needed to inform automation. Listed Abbott Park with a California-remote option.
Summary
Principal architect for machine learning platforms and generative AI systems, leading their design and implementation and driving data-driven projects with cross-functional teams. The named toolset includes Python, PyTorch, Kubernetes and AWS, with LLMOps, prompt engineering, natural language processing and LLM evaluation work.
AI-keyword evidence: ai , machine learning, llm, generative ai
Summary
A forward-deployed engineer (level III) at ShipBob, a customer-embedded engineering role implementing and integrating the logistics-technology company's platform for merchants. Remote within the US.
AI-keyword evidence: ai , llm, ai-assisted
Summary
Security operations engineering at a proprietary trading firm, covering daily monitoring, alert investigation and incident response across cloud and on-premises systems, plus vulnerability assessments and security reviews of systems and new technologies. A large share of the work is Microsoft-stack identity and data protection: Entra ID conditional access, MFA and PIM, Defender for Endpoint, Identity and O365, and Purview with sensitivity labels, DLP and insider risk policies, alongside AWS and network tooling. Automation in Python and PowerShell and system integration through Graph and REST APIs are treated as core to the role rather than optional extras.
AI-keyword evidence: ai engineer
Summary
A Work Design Architect at Upside focused on making the organization, not just individuals, move faster with AI by designing how work and processes flow so AI can run them without a human holding every step. The role sits at the intersection of organizational design and AI enablement; based in Chicago. Best for an architect who likes designing AI-ready workflows and processes.
AI-keyword evidence: ai
Summary
A security-engineering role on AbbVie's Information Security Risk Management architecture team, focused on cybersecurity posture and hygiene rather than incident response. Hands-on work: scripting against application APIs to extract configuration data, building dashboards and alerts for configuration drift, documenting CIS baselines, and applying AI to scale security outcomes. Can be based virtually anywhere in the US.
AI-keyword evidence: ai , artificial intelligence, machine learning
Summary
A resiliency architecture role designing high-availability and disaster-recovery patterns across a hybrid estate: on-prem data centers, public cloud (AWS, Azure, GCP), VMware private cloud, and SaaS. You would lead well-architected resiliency reviews against RTO and RPO targets, build remediation roadmaps, and promote DR automation and drift management using Terraform and Ansible. It focuses on eliminating single points of failure in Tier-0 systems and providing architectural evidence for regulatory and audit reviews.
Summary
A management role leading a team of test engineers and owning the strategy, development, and execution of product testing across the organization. Responsibilities include hiring, training, and performance reviews, defining test strategies and plans with R&D, product management, and manufacturing, managing test environments and tools, and driving continuous improvement. This is a leadership position focused on product quality rather than hands-on coding.
Summary
Senior backend engineering on the same Go-based healthcare cloud platform Abbott runs from Abbott Park: designing services and components for a global health-data system, integrating partner APIs for medical-data sharing, and contributing to architecture decisions alongside the data-services team. Emphasis on unit-testable, maintainable code and security collaboration with InfoSec.
Summary
A Senior Infrastructure Engineer on PNC's mainframe-security team — RACF and ACF2 policy administration, CF structure changes, z/OS, OSA, TCP/IP, VTAM, OpenSSH, UNIX System Services. Niche mainframe-security role inside a big bank: mainframe-platform maintenance, encryption ciphers, AT-TLS policies. Pittsburgh or Cleveland; for an experienced mainframe security administrator.
AI-keyword evidence: machine learning
Summary
A data engineering role working directly with trading desks to build and maintain the data infrastructure behind trading decisions. Responsibilities include ETL pipeline development, data-warehouse architecture, data-quality automation, and analytic visualization across relational, NoSQL, and time-series stores, plus holding teammates to design, testing, and documentation standards. The work sits in a high-volume market-data environment.
Summary
A principal data-engineering role at KeHE, an employee-owned natural and specialty-foods distributor, serving as a technical leader who architects complex systems and sets engineering standards across teams. Unlike feature-focused engineers, this role owns high-impact architectural decisions — defining target architectures, leading design reviews, designing scalable platform capabilities (resilient APIs, event-driven architectures, caching, and data models), advancing DevOps, CI/CD, and cloud practices, and improving reliability and observability — while mentoring engineers. A fit for a principal-level engineer with deep distributed-systems and cloud-platform expertise who shapes architecture direction; based in Naperville, IL.
Summary
A DevOps/SRE internship at TransMarket Group, a proprietary trading firm, working across the technology stack on projects from automating the build, test, and deployment of latency-sensitive trading applications to building back-office data flows. The work balances reliability and innovation while interacting with global technology teams. Best for a student interested in DevOps/SRE in a trading environment.
Summary
An infrastructure engineer at TransMarket Group, a proprietary trading firm, owning its data-center infrastructure, including hardware installation and troubleshooting, vendor-managed remote installs, automated provisioning, and inventory. The role partners with network engineers on reliable, secure deployments and equipment upgrades. Best for an infrastructure/data-center engineer who wants trading-firm operations work.
Summary
A senior software engineer at TransMarket Group, a proprietary trading firm, designing and implementing network connectivity, market data, and execution libraries for its automated trading platform. The role works closely with strategy teams to anticipate and deliver improvements, building clean, low-latency, fault-tolerant systems in C++. Best for a senior low-latency C++ engineer who wants to own core trading infrastructure.
Summary
A junior software engineer at TransMarket Group, a proprietary trading firm, working with senior developers to learn all facets of software development for automated trading and to develop, code, and support production-quality trading components. The small, focused team carries a high degree of ownership building low-latency systems in C++. Best for an entry-level C++ developer who wants to break into trading systems.
Summary
A lead site reliability engineer on Jump Trading's Central Ops and Reliability Engineering team, owning the reliability of the firm's production infrastructure. SRE leadership at the Chicago prop trader.
Summary
A BI analytics engineer at a distribution company building dashboards and scalable data models on the Microsoft BI stack (Power BI, Power Apps, Power Automate) and Python. The posting notes the company does not participate in the H-1B lottery. Chicago.
Summary
A people-management role leading a systems-engineering team through the staging lifecycle of integration, verification, validation, and customer testing, bridging hardware, software, and AI disciplines. You handle performance reviews, mentorship, and career development, partner with program management, operations, field SI, and GenAI teams, and drive risk mitigation and process improvement. This is a manager position rather than an individual-contributor one.
AI-keyword evidence: ai , genai
Summary
The title says application development, but this is a DevOps role: building CI/CD pipelines, automation, and deployment governance for cloud and on-premise applications, with hands-on Python, PowerShell, and shell scripting. Requires a degree plus IT experience specifically in the healthcare domain. Hybrid schedule, with an anticipated salary of 122,200-203,600 dollars plus bonus eligibility.
Summary
A consulting-firm role implementing OneStream, a corporate performance management and financial consolidation platform, within Baker Tilly's digital solutions practice. This is enterprise finance-software configuration and solution architecture for client engagements, not general application development. Discuss work-location expectations with their recruiter.
AI-keyword evidence: ai
Summary
A backend software quality engineering lead at Prolaio acting as a player-coach: leading a small team of automation test engineers while still writing test automation and executing test strategy for its cloud-based data platform and high-volume pipelines. The role drives requirements-gathering for clinical safety in a Software as a Medical Device (SaMD) environment. Best for a hands-on QA lead who wants leadership without leaving engineering, in regulated health software.
Summary
A software development role at a quantitative trading firm, emphasizing software-engineering fundamentals and building fully automated, scalable, well-tested systems. Open to strong developers with a computing background or extensive professional experience; a collaborative, low-ego trading-technology environment with Chicago as one of several location options.
Summary
An analytics engineering role building and scaling DoorDash's data foundations, developing high-volume ETL/ELT pipelines and canonical datasets and designing metrics and dashboards for stakeholders across the company. The work is heavily SQL-centric with Python or Scala and embeds across multiple business domains alongside data scientists, data engineers, and software engineers.
Summary
A high-performance-computing systems engineer in UChicago's Research Computing Center, installing, configuring, and maintaining large compute clusters, parallel file systems, HPC network switches, and scientific software. It is research-supercomputing systems administration supporting university researchers, suited to someone with cluster/HPC operations experience.
Summary
Machine learning and AI engineering to build models, agents, and the data pipelines and evaluation loops that let them improve from production outcomes. Covers ML models such as ranking, forecasting, and recommendation, LLM-based agents with tool use, scalable batch and near-real-time pipelines, and offline and online evaluation with A/B experimentation.
AI-keyword evidence: ml engineer, ai engineer
Summary
A senior software engineer building the FedNow Service — the Fed's real-time gross settlement instant-payments platform within Federal Reserve Financial Services. Payments-systems engineering on a resilient, nationwide product; posted across several districts. Central-bank role with a background investigation and no sponsorship.
Summary
A systems-integration engineer who programs, integrates, and tests complex land-mobile-radio and mission-critical communications systems during the staging process. You troubleshoot and diagnose issues, produce system design documentation, and improve staging quality and cycle time. Strong LAN/WAN and TCP/IP networking, Linux and Windows with Active Directory, virtualization, and two-way radio knowledge (Astro, Mototrbo, P25, Tetra) are expected.
Summary
A principal-level individual-contributor role architecting the software behind Capital One's card loyalty rewards and benefits systems, which process very high daily order volumes. The engineer spends significant time writing code alongside the team and works closely with business partners on new product launches. The posting explicitly involves using modern AI coding tools such as Windsurf and Claude Code to augment delivery.
AI-keyword evidence: claude code
Summary
A senior Cloud Security Engineer at Old National Bank — owns cloud-security tooling and posture-management across the bank's cloud surface. Multi-location: Lake Elmo MN (Washington core ring) / Chicago IL / Evansville IN. Forward-looking software role on Old National's growing Twin Cities footprint.
AI-keyword evidence: fine-tune
Summary
A quantitative developer at IMC owning the path from research to production — building backtesting and simulation infrastructure and signal/feature pipelines that turn quant research into live trading. Python quant-dev work at the Chicago market maker.
AI-keyword evidence: ml
Summary
A senior full-stack engineer on Enova's Platform Engineering team, building internal tooling and AI-powered developer tools that help the fintech's engineers ship faster and more safely, plus mentoring teammates. Requires several years of full-stack experience and some hands-on AI-tooling work. Hybrid in Chicago; no visa sponsorship.
AI-keyword evidence: ai , machine learning, ai tooling
Summary
Pre-sales solution engineering in the Sales organization supporting the US Federal public sector team. The specialist acts as an architectural partner consolidating expertise across MuleSoft integration, Tableau analytics, and Data 360, positioning agentic AI and data solutions for government customers. It sits at the front of the sales motion rather than building products.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A hands-on principal engineer/architect role embedded in Salesforce's Marketing organization, acting as the principal technical builder for AI (Agentforce-era) capabilities. For a principal engineer who wants to architect and build AI features inside a large product org. Multiple US sites.
AI-keyword evidence: github copilot, claude code, cursor, ai engineer
Summary
Full-stack engineering on Abbott's healthcare platforms at Abbott Park — React and Node on the front half, Go services on the back, building features and partner-facing APIs for medical-data sharing at global scale. Includes API contract design, security work with InfoSec, and a voice in architectural decisions.
Summary
A senior data-engineering architect role on West Monroe's Technology & Experience consulting practice, helping clients across industries develop Big Data strategy and roadmaps. You would provide platform-selection guidance (Databricks, Snowflake, Microsoft Fabric), design data pipelines and structures (Spark on Scala), architect scalable AI/ML and generative-AI solutions on modern lakehouse environments, ensure governed, secure data pipelines that enable AI workloads, coach consultants, and partner with business development. A fit for someone with 10+ years (5+ in consulting), deep Databricks and/or Snowflake expertise, and hands-on experience with LLMs, RAG, vector databases, and AI frameworks (LangChain, MLflow, Mosaic AI); based in Chicago (or other US offices).
AI-keyword evidence: vector database
Summary
A senior Databricks-focused architect role on West Monroe's Technology & Experience consulting practice, helping clients develop Big Data strategy and roadmaps with deep emphasis on the Databricks platform. You would design data pipelines and structures, collaborate with data-science teams to productionize machine-learning and generative-AI workloads, establish best practices for AI data readiness, feature engineering, and model observability, and lead technical discussions on semantic layers, vector databases, AI agents, and retrieval systems. A fit for someone with 10+ years (8+ consulting, 3+ on Databricks) with strong Databricks architecture expertise (Delta Lake, Unity Catalog) and hands-on LLM, RAG, and AI-orchestration experience; based in Chicago (or other US offices).
AI-keyword evidence: vector database
Summary
Full-stack JavaScript engineering centered on headless CMS platforms such as Sanity, Contentstack and Contentful, building React and Next.js front ends against Node.js REST and GraphQL services for consultancy clients whose sites serve millions of users. The work includes content modeling and schema architecture, third-party ecommerce, analytics and personalization integrations, and mentoring junior engineers. It is hybrid with three days a week in the Chicago office, or fully remote for candidates based in Mexico, and asks for three to six years of professional full-stack JavaScript experience.
AI-keyword evidence: artificial intelligence
Summary
A Knowledge Systems Architect at Upside (a brick-and-mortar commerce/cashback platform) building the trustworthy artifacts and structure that AI needs to participate in real organizational work such as drafting documentation, surfacing answers, and flagging anomalies. The role makes the organization legible enough for AI to act on; based in Chicago. Best for an architect focused on knowledge systems and AI enablement.
AI-keyword evidence: ai , ai tooling, llm, ai-assisted
Summary
A senior backend engineer on Tempus's OS Ecosystem team, building the internal platform (data storage, schema/data contracts, warehousing) that lets bioinformatics, ML, and agent developers ship in a regulated environment — primarily in TypeScript and Python on a Node.js/GCP stack (GCS, BigQuery, Cloud Spanner). Includes production on-call duty and asks for 5+ years. Based in Chicago, $110K-$160K.
AI-keyword evidence: ai , ml , genai
Summary
A regulated-software quality role centered on computer system validation (CSV) for Tempus's medical-device software, working to FDA QSR, ISO 13485, and GAMP 5 — authoring validation protocols (IQ/OQ/PQ) and risk assessments rather than writing application code. Requires 5+ years in an FDA-regulated domain and 3+ in CSV. Hybrid out of Chicago, New York, or Redwood City; Chicago range $90K-$130K.
AI-keyword evidence: ai
Summary
A software test and QA engineer for embedded systems that combine hardware and software. You plan the test approach, review requirements, write and execute both manual and automated test cases, manage defects, and run regression, performance, fault-tolerance, and capacity testing. The role also involves system integration of hardware and software and helping resolve issues on live customer production systems.
AI-keyword evidence: artificial intelligence, machine learning
Summary
A native mobile front-end engineering role (iOS in Swift or Android in Kotlin, 3+ years required) building the myQ mobile team's apps in an Agile environment, with mentoring of junior engineers and work with offshore teams. Hybrid in Oak Brook, IL, with up to 10% domestic and international travel and adherence to ISO 27001 security requirements.
Summary
An internal enterprise-IT engineering role rather than client consulting: acting as technical owner of the firm's own SaaS estate — Microsoft 365, Entra ID, Intune, Copilot, GitHub, Atlassian, plus Snowflake and Databricks platform administration — with SSO design in SAML/OIDC, PowerShell automation, and AI-agent-driven process automation. Closer to platform administration and identity engineering than software development.
AI-keyword evidence: anthropic, copilot
Summary
This is a director-level data engineering and AI consulting role for West Monroe. The person leads business development and delivery for AI-enabled data modernization, shapes engagements around data platform transformation, data quality, governance and AI infrastructure readiness, builds client proposals and work plans, manages multidisciplinary delivery teams and works with executive stakeholders.
AI-keyword evidence: agentic workflow, agentic workflows, retrieval augmented generation, ai engineer, vector database
Summary
A hands-on engineering manager role leading OppFi's customer and application team, which owns the prospective-customer journey from first visit through application submission. The work includes React front ends, event-driven microservice back ends, Java/Ruby/JavaScript systems, AWS/GCP, CI/CD, SDETs, roadmap delivery, legacy-platform migration, AI coding tools, Agile process, and engineer development.
AI-keyword evidence: ai
Summary
A software engineering role implementing and testing Ocient's data-warehouse product, working from designs provided by senior engineers to build, test, and debug smaller components and to create design docs. It calls for a couple of years of experience writing code in an object-oriented language such as C++ or Java with a strong grounding in data structures and algorithms. The position is remote but US-based only, with no visa sponsorship.
AI-keyword evidence: ai
Summary
A senior solutions architect role at Ocient owning the technical win for Communications Service Provider opportunities, partnering with sales on its petabyte-scale analytics platform. It is a customer-facing, pre-sales architecture role with up to 50 percent travel to customer sites and partner workshops, remote and US-only with no visa sponsorship. The posting lists a base of 160,000 to 200,000 dollars and on-target earnings up to 300,000, suited to a solutions architect with telecom-domain depth who thrives in technical sales.
AI-keyword evidence: ai , llm
Summary
A software engineering role focused on evolving Ocient's in-database machine-learning capabilities, implementing ML features and closing feature and behavioral gaps relative to common frameworks such as Spark ML and scikit-learn, so that model output, defaults, and edge cases behave predictably at scale. Backend or systems programming in a language such as C++, Java, or Scala is required, along with experience implementing or integrating ML models in production. The role is remote but US-based only.
AI-keyword evidence: ai , ml , machine learning
Summary
A technical-lead software engineering role on Ocient's Streamloader team within Loading Engineering, designing and building batch and stream loading systems that ingest terabytes of data per day into a massive-scale distributed database. Work is in modern C++ and/or Java on high-performance distributed systems, partnering with architects, customers, and other engineering teams. The role is remote but US-based only with no visa sponsorship, and carries technical-leadership responsibility over small-to-medium teams.
AI-keyword evidence: ai
Summary
Pre-sales solution engineering for Salesforce's Aerospace & Defense and Government System Integrator accounts, acting as technical trusted advisor and deal quarterback to defense primes and federal SIs. Involves architecting solutions within FedRAMP High, CMMC, and DoD Impact Level constraints and prototyping Agentforce proofs-of-concept. A hands-on but sales-aligned technical role.
AI-keyword evidence: claude code, cursor, agentic workflow, agentic workflows
Summary
A heavily AI/GenAI-focused backend engineer building Python applications and APIs (FastAPI, Flask) with vector databases (Weaviate, Pinecone) and retrieval-augmented generation, LLM fine-tuning, and agentic orchestration (LangGraph, AutoGen) — plus AI security and governance work. Requires 5 years (or a master's plus 3) and strong RDBMS skills; the JD says remote requests are considered per company policy. Based in Chicago.
AI-keyword evidence: retrieval augmented generation, vector database
Summary
A director-level system architecture role for AI innovation programs at CNA. The job owns technical direction across Agile Release Trains, manages engineers and analysts, maintains architecture, and keeps product, release, enterprise-architecture, and implementation teams aligned.
AI-keyword evidence: claude code
Summary
A senior Microsoft Modern Work engineer at Emergent Software (fully remote) focused on Microsoft Copilot and SharePoint - designing Copilot/Copilot Studio agents, leading client discovery, scoping, and training, and supporting Microsoft 365 initiatives across client engagements. It blends solution development with client-facing delivery rather than core software engineering, on a stack of Copilot Studio, SharePoint, Power Platform, and Entra ID. A fit for an M365/Copilot solutions engineer who likes consulting.
AI-keyword evidence: ai , copilot
Summary
A security engineer on DRW's client-platforms (endpoint) team, securing the firm's employee devices and the systems they access. Endpoint-security engineering at the Chicago prop trader.
Summary
A full-stack engineer at UChicago's TMW Center for Early Learning + Public Health, building technology that supports evidence-based early-childhood-development interventions embedded in health and education systems. The work is application development in service of public-health research and parent behavior-change tools.
AI-keyword evidence: machine learning
Summary
An engineering-manager role at Ovative Group (Minneapolis area), a media-measurement company, leading a cross-functional software and data-engineering team. The role owns the team's delivery rhythm — sprint planning, delivery ceremonies, capacity and velocity management — while mentoring and coaching engineers, partnering with product on requirements, and driving engineering best practices. A people-leadership role with a strong delivery and technical-health focus.
AI-keyword evidence: ai , ai-assisted
Summary
Applied security research role at the intersection of iOS reverse engineering and software engineering, building tooling to test mobile apps on stock and jailbroken devices and applying static and dynamic program analysis. Work includes reverse-engineering apps and frameworks to identify jailbreak detection and runtime protection, examining stored and transmitted data for PII, and researching detection and remediation of mobile vulnerabilities. The role is fully remote.
Summary
A senior software engineer on DRW's Unified Platform, building the trade-management, order-processing, and platform-services systems. Trade-lifecycle backend engineering at the Chicago prop trader.
AI-keyword evidence: ai
Summary
Senior frontend-infrastructure engineering role on Braze's FIX team, building the shared foundations other product engineers rely on - design system and component library, internationalization, routing/navigation, and code-generation tooling - as well as customer-facing experiences like data tables and rich-text/drag-and-drop editors. The primary stack is TypeScript and React (with Ruby on Rails and Cypress/Jest testing), with an emphasis on accessibility, performance, and developer experience.
AI-keyword evidence: ai , ai-assisted
Summary
Engineering management role leading Braze's Email team, which builds and maintains the high-scale infrastructure that sends billions of personalized emails a month plus subscription/preference APIs, self-service pages, and reporting pipelines. It combines people leadership (recruiting, coaching, team vision and processes) with hands-on technical guidance on architecture and, selectively, code, and requires 2+ years leading teams.
AI-keyword evidence: ai , ai-assisted
Summary
A full-stack software-engineering role inside AbbVie's Information Security and Risk Management org, building internal application-security tooling and platform capabilities rather than defending infrastructure directly. Uses modern full-stack practices and AI-assisted development to accelerate delivery. Hybrid; for a builder who wants to work in the AppSec and security-tooling space.
AI-keyword evidence: github copilot, claude code, agentic workflow
Summary
A DevOps/platform-engineering role at UChicago's Center for Translational Data Science providing production support, monitoring, CI/CD, security automation, and AI/ML infrastructure for the open-source Gen3/GDC biomedical data-commons platforms. It is hands-on SRE/DevOps work rather than feature development, in a research-data context.
AI-keyword evidence: machine learning
Summary
An offensive-and-defensive cyber engineer working across the full spectrum of computer-network operations on embedded systems. You perform vulnerability analysis and reverse engineering, develop source and binary patches, and architect secure embedded systems, drawing on register-level hardware and software understanding and network-protocol expertise. The role includes building proofs-of-concept and writing whitepapers to win new business, with great variety from project to project.
AI-keyword evidence: artificial intelligence, machine learning
Summary
A Salesforce engineer on the Global Payment Network: Apex, Visualforce, Lightning, SOQL, and REST/SOAP integrations alongside general web work (Angular/React, Java). Wants 3+ years of Salesforce engineering; certification preferred. Houston or Riverwoods.
AI-keyword evidence: ai , ai tooling
Summary
A senior-plus individual-contributor engineering role architecting and building Zero Hash's fiat payment systems, including fiat rails (ACH, RTP, FedNow, Request for Pay, SEPA), direct API integrations with banking partners, and treasury management software for programmatic liquidity and balance reconciliation. The work also covers internal operational tooling for reconciliation, alerts, and compliance reporting. This is a remote position in the US.
Summary
A technical monitoring role blending platform engineering and site reliability to safeguard Slack largest Enterprise Grid deployments. You continuously watch dashboards, telemetry, and alerting tools like Splunk to detect anomalies in latency, API failures, EKM operations, and identity sync before customers notice, then triage and orchestrate rapid mitigation, often initiating preemptive customer outreach.
AI-keyword evidence: ai , artificial intelligence
Summary
A senior manager and Oracle Cloud HCM solution architect role at Huron leading the design and delivery of end-to-end Oracle HCM Core HR implementations, combining client-facing engagement and project management with solution architecture across HCM, ERP, and third-party integrations. It is consulting leadership plus Oracle HCM architecture (6 to 10 years), up to 50% travel, with a posted base of about 165,000 to 190,000 dollars. US-flexible location; a senior consulting architect role.
Summary
A POS QA test-lead / SDET role embedded in a scrum team, owning test strategy and automation for Yum's Point-of-Sale systems and embedded services — building automated regression suites, designing UI / API / integration tests, and analyzing failures across distributed systems including offline and online POS scenarios. It is hands-on software test automation with shift-left practices, suited to a senior SDET comfortable with distributed-systems debugging.
Summary
Full-stack engineering on NT Connect, the API-based brokerage integration layer a retail futures trading platform uses to connect with introducing brokers, fintech partners and third-party systems. The role works across backend services, API architecture, web tooling and partner integration workflows to build a scalable, secure and high-throughput platform. A significant part of the emphasis is on the developer experience partners have when integrating with that platform.
AI-keyword evidence: github copilot, claude code, cursor
Summary
Backend engineering on NT Connect, the API-based brokerage integration layer that a retail futures trading platform uses to connect with introducing brokers, fintech partners and third-party platforms. The work is designing, building and maintaining the backend services behind those partner integrations and brokerage APIs, including RESTful and WebSocket interfaces, with an emphasis on scalability, reliability and low-latency performance. The role sits close to trading infrastructure and works alongside product, QA and other engineering teams.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A senior software engineering role on the Browser Extension team building and enhancing extension features in JavaScript and ReactJS for millions of users. The work is product feature development on the browser extension. The JD states this is a 100% remote position.
Summary
A hands-on infrastructure engineering leadership role at a trading firm, leading a Chicago-based team that owns enterprise systems including VMware virtualization, Windows Server, NetApp storage, Active Directory, DNS, and core networking, and that manages the global trader workstation infrastructure. The work combines people leadership with automation and infrastructure-as-code using Python, PowerShell, and Terraform, plus observability and proactive monitoring. It is enterprise IT infrastructure engineering rather than product software development.
Summary
A management role standing up a brand-new Desktop Software Engineering function inside AlphaSense's Corporate Technology org, hired to build the team from the ground up. The work sits between enterprise endpoint engineering and internal product quality, focused on making the company's own desktop applications run reliably across every managed endpoint. This is an internal-facing corporate technology role rather than a customer product engineering role.
AI-keyword evidence: llm
Summary
A full-stack JavaScript engineer on DBRS Morningstar, the firm's credit-ratings subsidiary, building Node.js APIs and single-page UIs in Angular or Vue for rating and research tooling. The JD asks for 5-7 years with HTML5/JS/CSS3 and SPA frameworks; financial-services exposure is a plus. Hybrid, four days onsite in Chicago.
Summary
A backend or platform engineer building Morningstar's content-management platform in C#/.NET, Python, and AWS, with a real emphasis on AI-enabled features — content tagging, semantic search, summarization, and integrating LLM services like OpenAI and AWS Bedrock. Roughly two-plus years of experience; the JD states it does not consider candidates needing visa sponsorship. Hybrid, four days onsite in Chicago.
AI-keyword evidence: ai , llm, openai, ai-assisted
Summary
A full-stack developer role building web and cloud-based tax products for BDO's clients, working across C#, ASP.NET, JavaScript frameworks such as Angular or React, SQL Server/Azure SQL/Cosmos, and Azure CI/CD pipelines. It functions as a lead developer within an Agile team, contributing architecture and design while mentoring junior engineers. The domain is tax-services software rather than general product engineering.
Summary
A production support engineer role on FIS Amount's support team, managing high-priority production issues to resolution and applying troubleshooting, fixes, and workarounds across the fintech platform. The work follows industry best practices for incident management across multiple platforms. It suits an engineer who thrives on operational, production-incident work in a financial-services environment rather than greenfield development.
Summary
An automation engineer role at FIS Amount, a fintech lending platform, developing and enhancing the team's test-automation framework to support QA. The work builds robust automation in Java and Python and collaborates closely with QA engineers, developers, and stakeholders. It suits a software engineer in test who enjoys building automation tooling rather than running manual QA.
AI-keyword evidence: ai , ai-assisted
Summary
A lead software-engineering role on Salesforce's Platform Services team, building the core platform capabilities other teams build on. Multiple US sites. For a lead engineer who thinks in platforms and services rather than single features.
AI-keyword evidence: cursor
Summary
A senior cyber-defense engineer focused on data protection at a derivatives exchange, deploying DLP and Data Security Posture Management across endpoints, email, and cloud (GCP, Azure), and defining controls for generative-AI and LLM data exposure. Chicago.
AI-keyword evidence: ai , machine learning, llm, generative ai
Summary
A senior/lead backend engineering role building the middleware that underpins Chamberlain's myQ residential and commercial platforms, serving as the scrum team's point person across front-end, firmware, and product teams. Requires 5+ years and deep Agile/Scrum experience; hybrid in Oak Brook, IL, with ISO 27001 security responsibilities.
Summary
A lead cloud security engineering role at a smart-access/IoT company (LiftMaster, Chamberlain, myQ), responsible for designing and enforcing security controls across AWS and Azure. Core work includes IAM, network segmentation, encryption, CSPM/CWPP tooling, Infrastructure-as-Code guardrails (Terraform, CloudFormation, Bicep), and securing containers and serverless (EKS, ECS, Lambda, AKS). The role carries people-leadership duties as well as hands-on cloud defense and compliance work (SOC 2, ISO 27001, NIST CSF, PCI DSS).
Summary
A client account administrator on a Digital Retailing team coordinating client onboarding, dashboard administration (creating dealer accounts, configuring tools), and the product order pipeline. This is an operations and account-coordination role, not software engineering, and is likely a classifier false positive. Chicago.
Summary
A senior Data & Software Engineer role at Ovative Group (Minneapolis area), a media-measurement company, taking a leadership position on a cross-functional engineering team. The work leads design, development, testing, and deployment of robust software and data solutions, engages directly with product managers and stakeholders, mentors teammates, and drives adoption of AI-assisted development and engineering best practices. A senior individual-contributor role with extensive iterative-development experience.
AI-keyword evidence: vector database
Summary
A Data & Software Engineer role at Ovative Group (Minneapolis area), a media-measurement and optimization company, building scalable software and data solutions. The work designs, develops, tests, and deploys solutions under the guidance of senior team members, identifies automation opportunities, and uses AI-assisted development tools (GitHub Copilot, Claude) while following SDLC and DevOps best practices. An early-career, growth-oriented engineering role.
AI-keyword evidence: github copilot, vector database
Summary
An unusually specific AI role: building agentic AI pipelines for enterprise semantics — RDF/OWL ontologies, SPARQL reasoning over knowledge graphs, LLM-powered schema understanding and metadata generation — plus Python microservices and Microsoft Fabric (Lakehouse/Spark) pipelines that turn it into business-ready star schemas. For someone at the data-engineering/knowledge-representation/LLM intersection. Remote, Illinois-listed.
AI-keyword evidence: ai engineer
Summary
A principal-level software engineering role on the Tech Platform team at FinTech company Enova, setting technical direction for platform-wide initiatives and driving responsible adoption of AI across the engineering organization. The role spans infrastructure, tooling, and developer experience, influencing architecture and standards across teams without direct authority, and is hybrid based in Chicago.
AI-keyword evidence: ai , machine learning, llm, ai-assisted
Summary
A site reliability engineer on DRW's algorithmic-trading systems, owning the reliability of the live-trading production environment. SRE work at the Chicago prop trader.
AI-keyword evidence: ai
Summary
A senior back-end engineer on the Globus Search & Insights team, building cloud-based services for the Globus research-data-management platform used worldwide. Downtown Chicago with remote flexibility; the role is commercial-grade SaaS back-end development serving scientific-computing users connected to Argonne National Lab.
Summary
A hands-on Azure infrastructure engineering role building secure cloud foundations: landing zones and subscriptions with RBAC, Entra ID, and MFA, isolated networking using NSGs and Private Endpoints, and services like Azure Container Apps, App Services, Functions, Key Vault, and SQL Server. A distinctive slant is partnering with Java teams to containerize and tune JVM workloads and standardize CI/CD rollouts. Expect strong emphasis on security, observability with Azure Monitor, and cost control.
Summary
A DevOps engineer at DRW, building the CI/CD and infrastructure-automation the firm's engineering org runs on. DevOps/infrastructure work at the Chicago prop trader.
Summary
A Data & Software Engineer role on Ovative Group's EMRge MMM (marketing-mix-modeling) team (Minneapolis area), a media-measurement company. The work designs, develops, tests, and deploys scalable software and data solutions under senior guidance, contributes to automation and documentation, and uses AI-assisted development tools while maintaining code quality. An early-career role on a cross-functional product-engineering team.
AI-keyword evidence: github copilot
Summary
A senior identity-and-access-management engineering role at Moveworks (a ServiceNow company), and notably a hands-on developer role — coding, designing, building, and scaling IAM solutions across cloud infrastructure, SaaS applications, and internal systems. You would own IAM initiatives end to end: developing robust access models across AWS, Azure, and Kubernetes (with tools like Teleport and Terraform), reducing privilege sprawl through thoughtful role design, building observability through SIEM logging and metrics, modernizing user access reviews, and continuously de-risking IAM threats. A fit for an engineer who treats secure access as an enabler and is comfortable architecting and operationalizing automated IAM, not just designing it; based in Chicago.
AI-keyword evidence: ai
Summary
An entry-level software engineer at Supernova Technology (Chicago), learning the SDLC and growing under senior engineers - hands-on coding of new features and bug fixes, diagnosing product issues, and contributing to releases on the company's back-end platform. It wants a CS-related degree and exposure to a language like Java (with Spring Boot), Python a plus, and candidates available to start within a month, posting 80k-100k. A genuine junior role for an early-career developer.
Summary
Titled SRE Architect, this is a senior reliability-engineering leadership role at a payments company setting SRE standards across observability, incident management, capacity planning, and resilience engineering, with an emphasis on AI-powered reliability. It spans multi-cloud (AWS, GCP, Azure), Kubernetes, distributed systems, OpenTelemetry-based observability tooling, and chaos engineering for financial and payment-processing platforms.
Summary
Despite the architect title, this is a ServiceNow platform specialist role at a consulting firm (BDO Digital), designing and implementing ServiceNow ITSM, ITOM, CSM, HRSD and similar modules for client engagements. It combines hands-on configuration and customization with team leadership, including overseeing onshore and offshore developers and managing client stakeholder relationships. Requires roughly six or more years of ServiceNow architecture experience plus ITIL familiarity, in a client-facing consulting environment.
Summary
A principal-level cloud security engineering role securing Azure and AWS platforms through Policy-as-Code and Terraform Infrastructure-as-Code aligned to CIS and NIST 800-53, plus CSPM tooling such as Wiz and Microsoft Defender for Cloud. Work spans security assessments, incident response with root-cause analysis, and mentoring junior engineers. It is a deeply hands-on engineering position where Terraform, Python automation, and Git-based CI/CD are the core skills.
Summary
A staff site reliability engineer role in CME Group's Clearing department, responsible for the reliability and performance of mission-critical systems that clear billions of dollars in daily financial transactions. The work goes beyond keeping systems running toward building ultra-reliable, resilient infrastructure. It is a hybrid role requiring at least 2 days a week in the office.
Summary
A C++ software development role for Headlands' trading technology stack. The job is performance-sensitive systems work in a quant-trading environment, suited to an engineer who wants to build low-latency or high-reliability components close to markets.
Summary
A senior staff engineering role serving as the technical anchor for Braze's Channels division, which owns the full message lifecycle from campaign configuration to delivery on a user's device. The engineer splits time between division-wide technical leadership (architecture direction, best practices, reliability) and hands-on building of shared frameworks and foundational systems across the dashboard and delivery layers, working in Ruby on Rails, TypeScript/React, and distributed systems. Requires 10+ years of software engineering with meaningful technical-leadership experience.
AI-keyword evidence: ai , ai-assisted
Summary
The senior-lead tier of the Cloud Operations Resilience Engineering full-stack track: 6+ years, leading diverse technology projects and developer teams on cloud solutions, with occasional hands-on coding expected. Standard Capital One AWS stack; Riverwoods, IL listed.
Summary
A lead full-stack engineer in Cloud Operations Resilience Engineering — the org that keeps Capital One's cloud platforms operable and resilient. Team leadership over microservices and full-stack systems on AWS; JavaScript/Java/TypeScript/SQL/Python/Go. Chicago and Riverwoods among listed sites.
Summary
Senior-lead variant of the Enterprise Platforms full-stack role: 6+ years, portfolio leadership across distributed microservices and full-stack systems, mentoring the engineering community, with the standard Capital One AWS/polyglot stack. Chicago and Riverwoods both listed.
Summary
A lead full-stack engineer in Enterprise Platforms Technology: leading a team on cloud-based solutions in JavaScript/TypeScript, Java, Python, and Go with Docker/Kubernetes on AWS. One of a cluster of near-identical platform-org leadership reqs spanning McLean, Richmond, Chicago, and Riverwoods.
Summary
A configuration-management engineer at a national lab implementing and sustaining an integrated CMMS plus a Configuration Database across accelerator systems, beamlines, and scientific infrastructure for reliability and lifecycle management. Focus on configuration control and data integrity with a data-driven, AI-enabled asset-management direction. Chicago area.
Summary
A senior reliability engineering role for iManage's flagship cloud product, with ownership of automation, cloud-native platform services, Kubernetes scalability, observability, and incident resilience. The senior scope adds architectural leadership, mentoring, complex technical decisions, and on-call participation in a Chicago hybrid schedule.
Summary
A senior full-stack engineering role leading technology projects and a team building cloud-based, distributed-microservice systems aimed at the bank's regulatory obligations. It mixes hands-on development with people leadership, including some direct management, and mentoring across the engineering community. Capital One notes it will consider sponsoring a qualified applicant for employment authorization.
AI-keyword evidence: ai , ai tooling
Summary
The Director of AI Engineering at Geneva Trading (Chicago), leading the firm's AI-engineering function as a competitive trading edge. AI-engineering leadership at the prop trader.
AI-keyword evidence: ai engineer
Summary
A senior business-intelligence engineering role in the SevenRooms (DoorDash) Data & Analytics team, owning data pipelines and BI infrastructure and serving as a data-integration link between SevenRooms and DoorDash. The role works across a stack including DBT, Looker, BigQuery, Fivetran, and Census, building AI-enabled data flows and establishing pipeline governance standards, with a go-to-market data emphasis.
AI-keyword evidence: ai
Summary
Consulting DevOps engineering: implementing and optimizing CI/CD pipelines and automating infrastructure with AWS services (EC2, IAM, S3, CloudFront, RDS) plus tools like Docker, Jenkins, Ansible, Puppet, or Chef across client projects, with an explicit push to apply AI/agentic tooling to DevOps workflows. No visa sponsorship — applicants must be legally authorized to work in the US for the duration of employment.
AI-keyword evidence: ai , llm, copilot, ai-assisted
Summary
A hands-on data-engineering manager owning market-data and analytical data platforms at a trading firm, responsible for ingesting, normalizing, storing, and delivering market data across venues and protocols. Explicitly a working role (production code, design and code reviews, debugging) leading a small team, with emphasis on reliability, correctness, and preparing the platform for AI/agent data consumers.
AI-keyword evidence: ai
Summary
A staff data engineer and technical leader on Upside's Data Engineering team, designing foundational data products and analytics-platform capabilities that power critical product and business use cases. The work is platform modernization and architecture — Snowflake, Dagster, and dbt, with FinOps cost/governance initiatives, CI/CD, and making data consumable by agentic tools — plus cross-team leadership and mentoring. A senior data-platform role for someone who cares about scalable, maintainable systems; Chicago-based.
AI-keyword evidence: ml , machine learning
Summary
A senior software engineer on DRW's DeFi effort, building systems for on-chain and decentralized-finance trading. Blockchain/DeFi engineering at the Chicago prop trader's Cumberland arm.
Summary
A full-stack JavaScript engineer on the Central Technology web team supporting Morningstar's corporate marketing platforms, working in Vue.js, Nuxt 3, TypeScript, Node.js, and AWS with server-side rendering. Includes building AI-enabled marketing workflows (content creation, schema mapping, personalization). Open to roughly three-plus years of experience; hybrid four days onsite in Chicago.
Summary
A SAS Viya developer/admin role at Huntington Bank supporting AML software and systems. Installs and configures vendor software and data-ingestion frameworks, deploys SAS Viya across environments, uses SQL and ETL/API/Pub-Sub for data standardization, and works on transaction-monitoring use cases. Onsite; vendor-platform (SAS Viya) specialist on the AML side.
Summary
A senior systems engineer role in CME Group's Reliability Engineering and Operations group, centered on Windows server administration along with Linux and OpenShift, networking, scripting and automation, and large-scale distributed computing. The person works directly with customers for support and new initiatives, so strong communication and documentation are required. It is an infrastructure systems engineering role rather than application development.
Summary
A full-stack engineering role at fintech InstaSwitch, which builds account-switching infrastructure for moving payroll, recurring payments, and spending between banks. The work spans a Rails backend, TypeScript/Lit frontend, Python microservices, and AWS, with banking integrations and partner-facing APIs; it suits a generalist who thrives on a high-variety, ship-fast workload.
Summary
A staff site reliability engineer role at CME Group acting as the foundational technical lead for the Platform Engineering SRE organization, owning the technical roadmap across all SRE sub-teams. The mandate is to evolve the platform from infrastructure-as-a-service toward reliability-as-a-product on a GCP-native stack with Python, Kafka, and Kubernetes, balancing ultra-low latency with high reliability for the derivatives marketplace. It includes mentoring senior engineers and setting operational standards.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A senior DevOps role at Wolters Kluwer designing and automating secure, scalable cloud infrastructure across Azure and AWS using Terraform, Ansible, and Jenkins. The work covers containerized and serverless compute (AKS, EKS, Docker, Azure Functions), building CI/CD pipelines as products, observability, and SRE practices like SLIs/SLOs and error budgets, while serving as a senior technical mentor without direct people management. It requires 5+ years in DevOps/SRE and includes participation in on-call rotations.
AI-keyword evidence: ai
Summary
A production-engineering role building the infrastructure and automation for a trading firm's production environment, designing deployment pipelines from validation through rollout and verification, building monitoring and alerting infrastructure, and developing tooling that reduces operational friction. It calls for strong programming ability (Python at minimum, with Golang or Rust a plus), CI/CD experience, and a broad understanding of the full stack from server hardware and networking to Linux and databases. The role carries operational ownership of production sub-systems.
Summary
An executive director leading the platform architecture team at the options clearinghouse, owning infrastructure strategy and standards across cloud, on-premises, networking, compute, storage, and observability, and developing a team of principal architects. A people-leadership architecture role. Chicago.
Summary
A hands-on principal security engineering role focused on safely enabling Microsoft 365 Copilot and other enterprise AI tools inside the bank's cyber team. You would own the technical strategy and architecture for AI-driven data-protection and compliance controls, working deep in Microsoft Purview, Defender, and M365 security services. The emphasis is being the organization's technical authority on AI data protection, designing safeguards that withstand audit and regulatory scrutiny. Microsoft Purview and Copilot expertise is essential.
AI-keyword evidence: ai , llm, copilot
Summary
A hands-on principal engineer role at a wealth-management bank, building production Java applications on Microsoft Azure using cloud-native services. Beyond coding, you set engineering standards, review architecture for scalability and security, and champion test-driven development, CI/CD, and the rollout of AI-assisted coding tools like Copilot to lift team productivity.
AI-keyword evidence: copilot
Summary
A senior .NET engineer role building middleware for the myQ smart-access platform that powers LiftMaster and Chamberlain products. The work is hands-on backend development within Agile/Scrum, coordinating with product, firmware, and front-end teams, and includes leading offshore teams and mentoring junior engineers. Security compliance under ISO 27001 is part of the role.
Summary
A top individual-contributor role in Capital One's Developer Platforms organization, setting the technical vision for enterprise continuous deployment and a frictionless software-delivery pipeline serving thousands of developers. It emphasizes hands-on prototyping of deployment architectures and applying automation and AI/ML to areas like predictive testing and deployment risk assessment. The role leads through technical contribution and cross-organizational influence rather than direct management.
AI-keyword evidence: machine learning
Summary
A hands-on lead BI developer role sitting inside BDO's Finance department, responsible for designing, building, and deploying Power BI solutions and serving as the firm's technical authority on Power BI. Work centers on data modeling, complex DAX measures, SQL, row-level security, and incremental refresh (including XMLA), plus report and architecture standards, code reviews, and mentoring other developers. Strong emphasis on visual storytelling and translating internal stakeholder needs into dashboards.
AI-keyword evidence: machine learning
Summary
A hardware-focused FPGA developer role optimizing a proprietary options market-making trading system. Work centers on delivering complex FPGA/system-on-chip designs in Verilog/VHDL, including network and exchange-protocol encode/decode logic and PCIe-based hardware/software integration, with functional verification and static timing closure. This is low-level digital logic and hardware design rather than application software, based in the Chicago office.
Summary
A lead mainframe platform-engineering role at Huntington Bank specializing in z/OS CICS, MQ, and zCEE. Deep mainframe engineering: WLM, CF, SMF, DASD, channels, IPL, parallel sysplex, CICSplex, z/OS networking and performance tuning, ICF/zIIP capacity planning. Mainframe-platform SME / project-management role; onsite at any Huntington Corporate office.
Summary
Another opening on Abbott's Go-based healthcare cloud team at Abbott Park: high-volume, low-latency platform services, partner API integrations for medical-data sharing, internal tooling, and secure-design work with InfoSec. Same team posts several reqs at this level — the work is backend Go services for a global health platform.
Summary
A backend Go engineer role on Abbott's cloud health-data platform at the Abbott Park campus — building high-volume, low-latency services and partner-facing APIs that let users share medical data with outside systems. The work spans API contract design, secure-solution collaboration with InfoSec, and internal tooling, with a hand in architectural decisions. For a Go (or Go-curious backend) developer who wants regulated healthcare scale.
Summary
A customer-facing integration-engineering role on Stripe's Professional Services team, partnering with Sales, Solution Architecture, and Implementation to drive client engagements and revenue. You would plan and execute integration engineering end to end — from high-level architecture down to code — serving as the ongoing technical point of contact for Stripe's largest users' and partners' technical teams, debugging both Stripe and user code, and educating the developer community on Stripe's APIs and best practices. A fit for someone with 4+ years in software or integration engineering who is comfortable with code-level debugging and confident discussing technical concepts with customers; based in Chicago.
Summary
A senior ServiceNow platform role on ABC Supply's IT Operations team, centered on governing the Configuration Management Database (CMDB) rather than general app development. The work owns the CMDB roadmap, Discovery and Service Mapping, a data model aligned to ServiceNow's CSDM, and the governance, KPIs, and audit controls that keep configuration data correct, complete, and current. Best for a ServiceNow specialist who knows ITSM and asset/configuration management deeply.
Summary
A full-stack product software engineering role building customer-facing features that surface a demand-side platform's real-time ad-auction capabilities within the flagship Basis application. Work spans net-new features and the integrations bridging the platform and the DSP, with ownership from design through production. The environment emphasizes modern AI-assisted and agentic development workflows.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A lead cloud-engineering role at OCC maintaining and continuously automating a large, complex Kubernetes-based cloud environment, covering architecture, high availability, disaster recovery, and automation of containerized workloads. It also provides technical guidance to the team in a highly regulated clearing environment, suited to a Kubernetes and CNCF-focused engineer who enjoys infrastructure at scale.
Summary
A senior cybersecurity architect and systems engineer providing security and networking oversight for a department's mission-critical systems under strict government compliance (NIST SP 800-171/53, CMMC). You architect and maintain solutions like EDR, DLP, MFA, encryption, and SIEM platforms, serve as the incident-response lead, and drive audit preparation and technical controls within a highly regulated framework.
Summary
A senior data analyst on IMC's FP&A team building dashboards and data pipelines for HR/people analytics — a technical analytics role partnering with HR and Finance, not trading-systems engineering, at the Chicago market maker.
Summary
A Senior Business Intelligence Engineer at Enova International (Chicago, hybrid) designing and maintaining reporting solutions and analytic applications across Finance, Marketing, Operations, and Compliance - leading projects end-to-end with complex SQL and Python, ETL/ELT pipelines on Astronomer Airflow, data marts on Snowflake, and MicroStrategy dashboards, while advancing AI use (Claude, AWS Bedrock). It wants expert SQL, 4+ years of ETL and BI tooling, and dimensional-modeling depth. A fit for a senior BI/data engineer who partners closely with the business.
AI-keyword evidence: ai , machine learning, claude
Summary
A software developer on DV Trading's algorithmic development team, helping build and extend its low-latency proprietary trading platform that competes in highly competitive markets. It asks for strong modern C++ (including smart pointers) and zero to seven years of experience, working alongside senior traders and developers. Best for an early-to-mid-career C++ developer interested in algorithmic trading.
Summary
A Linux engineering team lead at CTC, leading the team that builds and operates the firm's Linux trading infrastructure. Systems-engineering leadership at the Chicago options market maker.
AI-keyword evidence: ai , artificial intelligence
Summary
A senior machine-learning engineering role on Fetch's scan, match, and catalog foundation. The work builds ML models for receipt understanding, product matching, catalog enrichment, OCR/computer-vision pipelines, LLM-assisted labeling and weak supervision, active learning, production inference, Python/Go services, AWS, distributed systems, and human-in-the-loop quality improvement.
AI-keyword evidence: github copilot, machine learning engineer, vector database
Summary
A staff site reliability engineering role for TransUnion enterprise platforms. The work includes GCP and Kubernetes architecture, high-availability workloads, capacity planning, load testing, security improvements, new platform tooling, on-call rotation, incident leadership, high-risk maintenance planning, and setting SRE standards across the team; the role is hybrid at least two days a week.
AI-keyword evidence: vector database
Summary
A data-engineering role at the Argonne Leadership Computing Facility, building the systems that expose terabytes-to-petabytes of scientific data to both researchers and AI models. The work centers on data ingestion, indexing, and search — structuring large scientific datasets and surfacing them through usable web applications and high-performance APIs. It sits in the Data Services and Workflows group and is hybrid with occasional on-site days at Lemont, aimed at someone who blends backend and data engineering with scientific-computing context.
AI-keyword evidence: ai
Summary
Android engineering role leading the technical direction of Reddit's Brand Ad Formats team, with video ads as the central bet. The work covers building customizable, interactive rich-media ad formats on Android, driving them from early prototyping through experimentation and launch, and setting client-side design and testing practices for other engineers working on ad formats. Prior ad tech experience building highly interactive mobile ad experiences is a stated expectation.
AI-keyword evidence: ai , artificial intelligence, genai
Summary
A senior application-developer role on a trading firm's finance platform, building systems for PnL calculation, general ledger classification, and financial and regulatory reporting. The role is deliberately low-spec: engineers work directly with accountants and analysts to define requirements, then own projects end-to-end. Strength in Clojure or Python is required, along with finance and accounting domain knowledge such as reconciliation, general ledger, and regulatory reporting.
Summary
A business systems analyst supporting Uline's International team as part of a technology modernization effort, analyzing data requests, automating daily technology processes, and partnering with IT on testing and support. It requires SQL, VBA, and Microsoft Office proficiency with Power BI preferred. The role is fully onsite at the Pleasant Prairie, WI headquarters, and the company does not participate in the H-1B lottery.
Summary
A senior lead full-stack engineer (no sub-org named, same payment-network cluster): 6+ years, leads diverse projects and a developer team on AWS microservices, JavaScript/Java/TypeScript/SQL/Python/Go. McLean, Houston, and Riverwoods listed.
Summary
A hands-on senior AI software-engineering role on West Monroe's Technology & Experience (TechEx) consulting practice, building scalable, production-grade software enhanced by modern AI for client engagements. You would design and deploy full-stack applications, APIs, integrations, and data pipelines, and build AI-enabled features — intelligent agents, copilots, workflow automation, and LLM-powered experiences — developing prompting and orchestration strategies for models like GPT, Claude, and Gemini across AWS, Azure, and GCP. A fit for an engineer with 5+ years of software engineering, 1+ year shipping AI-enabled features in production, and strong client-facing collaboration skills (C#, Java, Python, React/Angular, RAG, agent-based systems); based in Chicago (or other US offices).
AI-keyword evidence: rag pipeline
Summary
This is a middleware software engineering management role for OCC. The person leads a team that installs, configures and maintains third-party middleware across operating systems, supports application development with those tools, manages production, development and test environments, oversees Jenkins and Ansible automation, tunes performance, designs disaster recovery, secures middleware technologies, and leads complex projects.
Summary
An HPC data-center production engineer at Jump Trading (Chicago or NYC, on-site), building and operating the HPC data-center infrastructure behind the firm's research. Hardware/HPC infrastructure work at the Chicago prop trader.
AI-keyword evidence: ai , llm
Summary
The Head of Engineering for DRW's Algorithmic Trading Group — a management role owning the org that builds the firm's algo-trading systems. Engineering leadership at the Chicago prop trader.
AI-keyword evidence: ai , generative ai
Summary
Technical leadership role on Reddit's Android Platform team, which owns the app architecture plus the shared libraries, frameworks, observability and build and CI tooling that every product team ships on. The focus areas are client health (crashes, ANRs and performance), developer experience, and app architecture, including guardrails such as lint, static analysis and AI-assisted code review. Deep modern Android experience and time spent in a large codebase shared by 100 or more engineers are expected.
AI-keyword evidence: ai , artificial intelligence, ai-assisted
Summary
A senior or staff Site Reliability Engineer role on MongoDB's Atlas SRE team, supporting and scaling the Atlas platform — its globally distributed, multi-cloud database-as-a-service. This is a highly hands-on SRE role: designing and building complex large-scale systems, building tooling and automation, performing essential maintenance of the Atlas fleet, and collaborating with Atlas software teams, with a 24/7 on-call rotation. It requires 5+ years running critical systems at scale, multi-cloud (AWS, Azure, or GCP) and large-scale Linux expertise, and a modern programming language (Go, Ruby, or Python) — and notably requires U.S. citizenship; multiple US locations including Chicago.
AI-keyword evidence: ai
Summary
A principal engineering role building CNA's AI-native developer platform. The work sits across agentic workflows, AI-augmented CI/CD, reusable agent frameworks, software-delivery guardrails, developer experience, and secure platform capabilities for the broader engineering organization.
AI-keyword evidence: github copilot, claude code, cursor, agentic workflow, agentic workflows, ai engineer
Summary
A back-end software engineering management role at Capital One requiring several years of people-management experience and leading engineering teams within Enterprise Platforms Technology. The work is tied to marketing-technology platforms for audience segmentation, personalization, journeys and decisioning (including Salesforce Marketing Cloud), and the employer states it will consider visa sponsorship.
AI-keyword evidence: ai
Summary
A security engineering role designing, building, and scaling enterprise vulnerability management systems across Keeper's cloud, application, and corporate environments, covering vulnerability discovery, prioritization, automation, and offensive security initiatives. This is a security-focused role rather than product development. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
Customer-facing engineering role at a supply chain visibility platform, working alongside enterprise customers from first technical discovery through post-launch to build and deploy integrations and agentic AI solutions. Day-to-day work includes production Java and Python, extending LangGraph-based agent workflows and Agent Studio customizations, designing integrations into customer systems, and owning root cause analyses for integration failures. Involves joining customer discovery and technical calls and mentoring incoming forward deployed engineers.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A senior software-development role at UChicago's Center for Translational Data Science, building and supporting the open-source Gen3/GDC data-commons platforms used for large-scale biomedical research. It spans analysis, design, and coding of end-user applications for research-data ecosystems across biology, medicine, and healthcare.
Summary
Hands-on technical lead at a web design and development consultancy, guiding a squad of four to five engineers through backend architecture and full-stack delivery on enterprise client projects. The role mixes coding with architecture, code review for performance and vulnerabilities, mentorship and client-facing technical leadership across Node.js, React, JavaScript and TypeScript, Python, Docker, Kubernetes, cloud platforms and CI/CD. Six or more years of hands-on full-stack work plus three years leading a small engineering team are required.
AI-keyword evidence: artificial intelligence
Summary
This is a senior enterprise-architecture leadership role at an intelligent-access hardware maker, owning Enterprise Architecture Requests and setting solution direction across applications, data, cloud, and security domains. The work is governance-heavy: leading Architecture Review Boards, defining reference architectures and roadmaps, driving technology rationalization, and influencing without direct authority. It reports to the Director of Enterprise Architecture and emphasizes reducing technical debt and aligning business strategy with technology.
Summary
Linux systems and network administration for a proprietary trading firm, covering server and workstation builds, monitoring and deployment tooling, change execution, and issue triage. The environment is performance-sensitive down to the kernel and network stack, with multicast and OpenOnload named specifically, and the posting asks for three or more years as a system or Linux administrator. It is an in-office role with onsite work at colocation facilities in Chicago, Aurora, and New Jersey, infrequent evening or weekend change windows, and a requirement to lift 40 to 50 pound equipment.
AI-keyword evidence: ai , artificial intelligence
Summary
A system-operations engineer at Geneva Trading (Chicago), maintaining and operating the firm's trading systems and infrastructure. Operations/SRE-leaning engineering at the prop trader.
AI-keyword evidence: ai , machine learning, llm
Summary
A software engineer building developer tooling for DRW's Cumberland/FICCO desks — the internal tools traders and engineers rely on. Developer-tooling engineering at the Chicago prop trader.
Summary
A principal innovation engineer role at Huntington Bank building production-grade prototypes and reusable technology assets, including AI-enabled applications, in Minnetonka MN, Austin TX or Chicago IL. A senior hands-on full-stack engineering seat in a bank's innovation group.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A data-engineering manager owning Gallagher's data-delivery architecture across projects: leading and mentoring data engineers and data scientists, overseeing deliverables, and keeping integration and data architecture consistent. Temp-to-hire W-2 contract, fully remote US — a leadership role on contract terms, which is worth noting before applying.
Summary
An information-security architect role specializing in AI risk management, focused on securing enterprise adoption of generative AI at Wolters Kluwer. The work involves assessing GenAI implementations, designing security controls, applying AI risk frameworks such as NIST AI RMF and ISO/IEC 42001, and threat modeling with the OWASP LLM Top 10. It expects a security certification such as CISSP, CISA, or CISM, plus hands-on familiarity with platforms like Azure OpenAI, AWS Bedrock, and Vertex AI.
AI-keyword evidence: ai , llm, openai, anthropic, claude, copilot, generative ai
Summary
A senior software engineering role focused on AI, ML, and GenAI application development for CNA business systems. The job blends systems analysis, application design, integration, testing, metrics, and informal technical leadership, with SDET or testing-tool depth called out as useful.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A senior-director consulting role at a professional-services firm, leading large Oracle transformation programs for the Engineering & Construction segment — Primavera plus Oracle ERP/PPM, project-to-finance integration, cost-to-complete forecasting, and WIP/revenue recognition. It is consulting leadership accountable for sales bookings, solution architecture, and delivery with deep E&C domain expertise, not hands-on software development. 50–75% travel; Chicago-routed.
Summary
A mainframe automation developer at a managed services provider, writing REXX and Assembler code to build automation across platforms including Automation Point, OPS/MVS, and zOSMF — the goal being to eliminate manual operator interventions by automating corrective responses to alerts. The JD requires at minimum Netview SA experience and 10 years of development experience; this is a deep IBM mainframe specialty role, not general IT automation.
Summary
Despite the generic title, this is a Google Workspace migration and automation architect — its defining task is leading large-scale platform migrations off Microsoft 365/Exchange to Google Workspace, requiring proven hands-on experience in both ecosystems. Beyond migration, you architect automation using Google Apps Script, AppSheet, and Vertex AI-based agentic frameworks, and act as a pre-sales technical advisor. A consulting, client-facing architect position.
AI-keyword evidence: agentic workflow, agentic workflows
Summary
A full-stack developer on the Globus team, a non-profit unit at UChicago building cloud-based research-data-management services used by tens of thousands of researchers worldwide. Based downtown at the NBC Tower with work-from-home flexibility, the work is commercial-quality SaaS development supporting scientific computing tied to Argonne National Lab.
AI-keyword evidence: ai
Summary
A client-facing consulting role, not a build role: an advisory architect in West Monroe's M&A Transaction Services practice performing technology due diligence on data and AI for private-equity and corporate deals — assessments, post-merger integration and carve-out advisory. It pairs data/AI architecture knowledge with deal work across many industries.
AI-keyword evidence: artificial intelligence
Summary
Builds and maintains the internal trading systems at a proprietary trading firm, covering trading visualization, trade management, algorithmic trading logic, risk limit management and trader configuration, along with the supporting APIs and backing services. Requires strong C# on .NET building high-performance desktop applications, real-time data processing over TCP or multicast, rendering large rapidly updating datasets in a UI, and comfort with multithreading and performance profiling. The role partners directly with traders, risk and technology teams.
AI-keyword evidence: ai , machine learning
Summary
A hands-on principal technical lead role at Caxy, a Chicago software consultancy, stepping in for the CTO as architect and lead on a mature client platform that powers player loyalty, incentives, and real-time gaming for millions of users. This is explicitly not a delegate-and-step-back role: you would write production code, own the architecture and technical roadmap, run monthly release cycles, and lead a team of 9 to 11 engineers and QA. Best for someone who has worked in the trenches of gaming, sports betting, or trading platforms — where downtime costs real money — and can improve a complex, interconnected system without breaking what works; based in Chicago.
AI-keyword evidence: ai
Summary
Engineering manager for the People Applications team, which builds and operates first-party software supporting the employee lifecycle from recruiting through offboarding across DoorDash brands including Wolt and Deliveroo. Scope covers talent acquisition, compensation and employee experience products, data pipelines, automation and integration with AI and LLM tooling, leading a full-stack team spread across the US and Hungary. It asks for seven or more years in software development, two or more years managing full-stack teams of five or more engineers, and depth in Node.js and TypeScript, React, Python, Docker and Kubernetes; the position is hybrid.
AI-keyword evidence: ai , llm, generative ai
Summary
A senior full-stack engineer at a Chicago digital consultancy building client applications with React/Next.js (TypeScript) front ends and Python (Django/FastAPI) or Node.js back ends. Hybrid in the Chicago office; applicants must be local to Chicagoland.
AI-keyword evidence: artificial intelligence
Summary
A real-time embedded software engineer creating proof-of-concept and low-volume specialty communications products for government and private industry, with a focus on cellular and wireless systems. You work across the full development cycle, including some model training and evaluation, and interact hands-on with product hardware for development and debugging. Proficiency in Linux, C, C++, and Python is expected.
AI-keyword evidence: artificial intelligence, machine learning
Summary
Titled a Python Engineer Manager but really an actuarial data-engineering lead for Kemper Auto insurance pricing, bridging actuarial science with cloud-based Python solution development. The role manages a team building portfolio re-rating and analytics tooling, structuring data pipelines for the actuarial team, and enforcing data governance and regulatory compliance. Requires a Bachelor's in a computing/data field and 5+ years in solution or data engineering; posting spans Chicago and Atlanta.
Summary
Solutions architect role leading technical design and delivery of cloud-native applications on Microsoft Azure, translating business requirements into scalable architectures and providing governance across delivery teams. Specializes in one primary domain - Application Innovation, Cloud Platform, or Data and AI; remote (US) with some presales support.
AI-keyword evidence: ai , machine learning
Summary
A lead cloud-operations role owning Terraform-based infrastructure for Wolters Kluwer InnovateHub's Azure environments, with an emphasis on SOC 2 and IRS 7216 compliance. The work spans designing Azure PaaS architectures, building operational-health dashboards from Azure Monitor and Application Insights, defining SLIs/SLOs, and acting as the go-to cloud resource for developers via templates and pairing. It requires 5+ years of cloud infrastructure experience and 2+ years of production Terraform.
AI-keyword evidence: github copilot, cursor, vector database
Summary
A lead engineer role building customer-facing AI features within Wolters Kluwer's InnovateHub, co-designing solutions with customers rather than taking a technology-first approach. The work uses Python and modern AI frameworks to build intelligent document processing, automated workflows, and AI-powered analytics, within an Agile/XP culture using TDD/BDD and pair programming. It calls for 5+ years of software experience plus hands-on LLM/AI work, and highly values Azure AI-102 certification.
AI-keyword evidence: github copilot, cursor, vector database
Summary
A lead/staff full-stack engineering role on Wolters Kluwer's central GenAI Platform, building systems and AI agents to empower hundreds of product teams, including the UpToDate Expert AI clinical-reasoning agent for physicians. The work runs concept-to-production across a broad stack (TypeScript, Node.js, React, Python, LangChain/LangGraph, Rust, AWS) with developer tooling, evals, and secure-SDLC practices. It is a remote-first role on a roughly 100-engineer team.
AI-keyword evidence: ai , ml , llm, openai, anthropic, genai
Summary
A senior full-stack engineering role on Wolters Kluwer's central GenAI Platform, taking problems concept-to-production and building AI agents that serve hundreds of product teams, including the UpToDate Expert AI clinical agent. The broad stack spans TypeScript, Node.js, React, Python, LangChain/LangGraph, Rust, and AWS, with work on developer tooling, evals, observability, and secure-SDLC practices. It is a remote-first role on a roughly 100-engineer team.
AI-keyword evidence: ai , ml , llm, openai, anthropic, genai
Summary
A principal full-stack engineering role on Wolters Kluwer's central GenAI Platform, taking problems concept-to-production and mentoring engineers while building AI agents including the UpToDate Expert AI clinical agent. The broad stack spans TypeScript, Node.js, React, Python, LangChain/LangGraph, Rust, and AWS, with work on developer tooling, evals, observability, and secure-SDLC practices. It is a hands-on, remote-first role driving architecture on a roughly 100-engineer team.
AI-keyword evidence: ai , ml , llm, openai, anthropic, genai
Summary
A forward-deployed-engineer role (Senior/Staff) on West Monroe's AI Delivery Team — a genuinely hands-on building role designing, building, and deploying software directly in client environments, moving from problem definition to prototype to production. You would build operational-intelligence platforms and full-stack solutions (services, APIs, applications, dashboards, and intelligent features), integrate client systems and build the data pipelines to unify information, design workflow automations, and contribute reusable engineering patterns across engagements — with more variety and end-to-end ownership than many traditional roles. A fit for an engineer (5+ years) who writes clean production code, loves building from zero, and is energized by hard, unfamiliar problems and close work with users; based in Chicago, Dallas, NY, or Seattle.
AI-keyword evidence: rag pipeline
Summary
A systems-engineering technical-lead role owning custom wireless communications products end to end, from requirements and architecture through design and test strategy, across project lifecycles of roughly six to eighteen months. You coordinate across software, electrical and mechanical hardware, FPGA, and test-engineering teams, interface directly with customers on use cases and requirements, and mentor the project team. Occasional customer travel is required.
AI-keyword evidence: artificial intelligence, machine learning
Summary
A senior software engineer on DRW's Cumberland/FICCO data team, building the data systems behind those desks' trading. Data-platform engineering at the Chicago prop trader.
Summary
Hands-on engineering management role leading a full-stack squad that owns pricing for a parking marketplace, covering roadmap planning, delivery, team health, and technical quality. The manager is expected to stay close to the code and to incident management, and the posting asks for distributed systems engineering experience plus three or more years managing engineers. The stack spans Java, Python, Kotlin, Postgres, React, AWS, and Kubernetes, with candidates sought in Chicago and Toronto.
Summary
An engineering-manager role leading a four-to-six-person team on LogicGate's Risk Cloud SaaS application. The work is technical direction, delivery quality, team coaching, roadmap execution, modern development practices, Agile collaboration with Product/QA/Customer Success/Sales Engineering, and stack oversight across Angular, Spring Boot, Java/Kotlin/Go, AWS, Terraform, and Kubernetes.
AI-keyword evidence: ai
Summary
A junior software engineer on Geneva Trading's Proprietary Trading Group in Chicago (the Loop), building trading-systems and OS-level software. Entry-level trading-systems engineering at the prop trader.
Summary
An engineering management role leading development of Zero Hash's asset tokenization and real-world-asset (RWA) infrastructure, with the team working on smart contract logic and asset lifecycle management. The position calls for a technologist-first manager who recruits and develops engineers specializing in smart contracts and distributed ledger technology. The location field lists New York, US.
Summary
A senior site-reliability engineering role on MongoDB's Fleet Management team, building and maintaining the scalable, secure Kubernetes runtime environment that supports products across MongoDB. The work is hands-on platform SRE — extending containerization technologies, providing internal Kubernetes support to engineering teams, and participating in a 24/7 on-call rotation with a strong culture of blameless post-mortems and systemic fixes. A fit for an engineer with 6+ years in software development and distributed systems, proficiency in Go or Python with strong testing discipline, and deep Kubernetes and Linux internals knowledge; multiple US locations including Chicago.
AI-keyword evidence: ai
Summary
A senior C++ engineer on CTC's market-data team, building the low-latency market-data systems feeding the trading engines. Performance-critical C++ engineering at the Chicago market maker.
AI-keyword evidence: ai , artificial intelligence
Summary
A senior C++ engineer on CTC's options market-making execution team, building the low-latency systems in the live-trading path. Performance-critical C++ engineering at the Chicago market maker.
AI-keyword evidence: fine-tune
Summary
A senior enterprise data-architecture role, not a heads-down application developer seat. The work sets strategy for CNA's data portfolio, aligns architecture across complex programs, promotes reuse, mentors other architects, and connects enterprise data strategy to execution.
Summary
Client-facing consulting data architecture: assessing client data estates, designing modern cloud data platforms with streaming, NoSQL, and warehouse tools like Snowflake and Databricks, and articulating architectural trade-offs to stakeholders. Includes business-development support (proposals, estimates) and an expectation of working onsite at client or company offices when requested.
AI-keyword evidence: anthropic
Summary
Senior consulting data engineering: designing and maintaining cloud data pipelines for client organizations while acting as trusted advisor and technical lead. Requirements center on 5+ years each across cloud platforms, ETL/orchestration tooling (Azure Data Factory, Informatica, Talend and similar), cloud warehouses like Snowflake or Databricks, SQL, and a general-purpose language.
AI-keyword evidence: anthropic
Summary
Senior consulting data architecture with a leadership tilt: leading teams of data engineers on client engagements, advising executive stakeholders, and helping grow the firm's Data & Analytics practice alongside pre-sales work. Wants 7+ years across cloud data platforms, streaming, NoSQL, and warehouse tools like Snowflake and Databricks.
AI-keyword evidence: anthropic
Summary
Consulting data engineering: building cloud data pipelines and data products for client organizations and advising them on ingestion and processing approaches. Expect variety across engagements rather than one product, and availability to work onsite at client or company offices as requested; production pipeline delivery can be demonstrated via experience, degree, certification, or bootcamp.
AI-keyword evidence: anthropic
Summary
Backend software engineering role at a food-tech company, building and maintaining the services that power its consumer web and mobile products and internal applications. The role owns problems end-to-end from scoping to production, expects hands-on use of AI-assisted development tools such as Cursor, Copilot, or Claude Code as a core part of the workflow, and includes frontend work when needed. Current backend stack is Go and AWS, though adaptability is valued over specific language experience.
AI-keyword evidence: claude code, cursor
Summary
An Azure cloud-architecture engagement at Gallagher: creating the technology framework for cloud transformation, leading end-to-end technical solutions, and coaching teams across the organization. Note the terms — this is a temp-to-hire W-2 contract (no 1099/C2C), fully remote within the US, with work-authorization requirements spelled out in the posting.
Summary
A data-architect role at consulting firm West Monroe, leading the design, implementation, and optimization of data solutions that help clients make data-driven decisions. You would define data strategies and roadmaps with senior leadership, architect scalable, secure data solutions (pipelines, warehouses, lakes, analytics platforms), establish data-governance frameworks, mentor junior engineers, and act as a trusted technical advisor to clients. A fit for someone with 10+ years in data engineering or architecture (3+ in leadership), proven cloud delivery (AWS, Azure, GCP), and deep modern-data-platform expertise — Databricks (Delta Lake, Spark) and/or Snowflake; based in Chicago (or other US offices).
AI-keyword evidence: artificial intelligence, machine learning
Summary
A Windows systems software engineering role on the Privileged Access Management (PAM) team, building secure, high-performance functionality for Windows endpoints and working directly with end-user devices through native development. The work supports enterprise endpoint privilege controls and compliance. It is 100% remote in the US, with an optional hybrid schedule for candidates near Chicago, IL or El Dorado Hills, CA.
Summary
A client-side application engineering role working in C# and Rust, covering installation workflows, end-user UI, application lifecycle management, and enterprise deployment support for Keeper's desktop clients. The focus is on scalable deployment, usability, and device management. It is 100% remote in the US, with an optional hybrid schedule for candidates near Chicago, IL or El Dorado Hills, CA.
AI-keyword evidence: llm
Summary
One of several concurrent lead full-stack openings on the Global Payment Network as Capital One builds out the network engineering organization spanning McLean, Houston, and the Riverwoods campus: team leadership, microservices on AWS, polyglot stack, regulatory-grade delivery.
Summary
A senior SDET role focused on API and security testing, building and maintaining automated test frameworks and tooling to validate the quality, reliability, and security of Keeper's APIs, SDKs, and automation workflows, including the Commander tool used by developers and DevOps teams. The emphasis is security-oriented test engineering rather than feature development. It is 100% remote in the US, with an optional hybrid schedule for candidates in the El Dorado Hills, CA area.
Summary
A senior engineering role building and scaling the macOS endpoint agent for Keeper's Endpoint Privilege Manager (EPM/KEPM) product. The hands-on work involves designing agent capabilities that enforce endpoint privilege controls, reduce attack surface, and support audit and compliance needs. It is 100% remote in the US, with an optional hybrid schedule for candidates near Chicago, IL or El Dorado Hills, CA.
Summary
A senior engineering role building and scaling the Windows endpoint agent for Keeper's Endpoint Privilege Manager (EPM/KEPM) product. The hands-on work involves designing agent capabilities that enforce endpoint privilege controls, reduce attack surface, and support audit and compliance needs. It is 100% remote in the US, with an optional hybrid schedule for candidates near Chicago, IL or El Dorado Hills, CA.
Summary
Engineering management role over AI platform work, owning the architecture and operations of machine learning engineering and generative AI systems and leading a team of ML engineers. Scope includes platform engineering, data orchestration, model governance, observability and agentic AI initiatives on hyperscaler cloud.
AI-keyword evidence: ml engineer, ai engineer
Summary
A Python software engineer on DRW's prediction-markets effort, building the trading systems for that emerging market. Python engineering at the Chicago prop trader.
Summary
Backend and platform engineering at an insurance technology company, building well-typed, auditable interfaces over the company's domain operations across backend services, data platforms, and Salesforce so that both autonomous AI agents and human workflows can call them. The work includes API and event contract design, permissions and observability, evaluation harnesses, and hands-on data access across Postgres, Snowflake, and S3. Experience with LLM agent frameworks such as LangChain, LangGraph, or Model Context Protocol is called out, along with willingness to engage with front-end and design collaboration.
AI-keyword evidence: cursor
Summary
A platform engineer for DRW's Cumberland/FICCO desks, building the shared platform and infrastructure those desks run on. Platform engineering at the Chicago prop trader.
Summary
Principal engineering role designing and building high-scale distributed platforms behind the airline's customer data and identity technology, including customer data platforms, identity resolution and identity graphs. It combines architectural strategy and mentoring with hands-on .NET, NoSQL and AWS work, and touches privacy and retrieval-augmented generation.
Summary
Hands-on full-stack technical leadership for Private Passport, a client-facing wealth-management platform handling account access, money movement, document exchange, and investments for a Fortune 500 bank. You lead design and delivery across web and mobile as the platform migrates to a modern cloud architecture, partnering closely with product, design, security, and data teams.
Summary
A senior data engineering role designing Snowflake-based data platforms, data models, ETL and warehousing for an asset and investment management business. Beyond building pipelines, it leans heavily on data strategy, stakeholder and executive relationship management, and advanced analytics using ML, AI and GenAI. Investment or asset management domain experience is recommended, and comfort with both relational and NoSQL data stores is expected.
AI-keyword evidence: ai , genai
Summary
An Oracle HCM Cloud Fast Formula developer role at Huron, the consultancy, building and maintaining payroll calculations, eligibility rules, and extracts, translating business requirements into Fast Formula logic across HCM modules. It is specialized Oracle HCM technical configuration and development for client implementations, with up to 50% travel and a posted base range of about 120,000 to 145,000 dollars. Chicago; suited to an Oracle HCM Fast Formula specialist.
Summary
A senior AI engineering role building end-to-end GenAI applications — advanced RAG pipelines and semantic search — using Python, LangChain, and LlamaIndex on Google Cloud (Vertex AI), with vector databases such as Vertex AI Vector Search or Pinecone. Covers LLM and embedding fine-tuning, agentic workflows, and MLOps for production serving and monitoring. Remote.
AI-keyword evidence: agentic workflow, agentic workflows, rag pipeline, ai engineer, vector database
Summary
A staff software engineering role tied to NinjaTrader's FCM platform work. It is a senior technical seat for building regulated trading and brokerage infrastructure, with Chicago or remote work options through the company's office tie.
AI-keyword evidence: ai-assisted
Summary
A highly versatile full-stack .NET developer on a small internal business-tools team, wearing many hats across the whole lifecycle. Beyond building new internal apps with the latest .NET (aided by AI coding assistants), you gather requirements from end-users, handle daily Helpdesk tickets, migrate legacy .NET Framework/MVC apps, integrate COTS software, and help maintain web and SQL servers. Note this is an on-site position.
AI-keyword evidence: ai , artificial intelligence, machine learning
Summary
A senior security-software-engineering role on Pinterest's Application Security team, helping keep its 619 million monthly users safe by building tooling, product enhancements, and the platform behind its secure development lifecycle. You would design and build the rules, processes, and platform for the SDLC, deliver and review well-tested code, conduct security and design reviews, and rework controls to address both increased AI-driven productivity and new AI threats. A fit for an engineer with 5+ years in product or application security and proficiency in a dynamic language like Python; remote (with rare in-office collaboration), posted range $155,584 to $320,320.
AI-keyword evidence: ai
Summary
Client-facing analytics consulting: stakeholder interviews, process mapping, and exploratory data analysis feeding dashboards and reports built in Power BI or Tableau. Beneath the lengthy culture preamble, the core work is profiling raw client data, evaluating trends and data quality, and translating patterns into actionable insights for engagements.
AI-keyword evidence: ai , machine learning, llm, gpt, copilot, genai
Summary
A senior Java engineer on CTC's trade-capture team, building the systems that record and process the firm's trades. Java backend engineering at the Chicago options market maker.
AI-keyword evidence: ai , artificial intelligence
Summary
A Java engineer on CTC's compliance-technology team, building the systems that keep the firm's trading compliant. Java backend engineering at the Chicago options market maker.
AI-keyword evidence: ai , artificial intelligence
Summary
Enterprise architecture leadership role defining architecture strategy and delivery frameworks across multiple technology domains - App Innovation, Cloud Platform, and Data and AI - and shaping cloud modernization roadmaps for clients. Combines deep technical architecture with executive stakeholder engagement and presales input; remote (US).
AI-keyword evidence: ai engineer
Summary
A hands-on chief-architect leadership role owning the architecture roadmap for Chamberlain's myQ connected-access (IoT) ecosystem, split roughly 50/50 between architectural leadership and deep technical work on distributed, IoT device platforms. Requires 12-15+ years in software/systems/platform architecture and experience scaling IoT platforms to millions of devices.
AI-keyword evidence: genai
Summary
A security operations role focused on running and scaling enterprise security controls across Keeper's global organization, with the JD explicitly noting it centers on security operations execution and control ownership rather than observability platform engineering or application security program leadership. The work ties into Keeper's PAM platform and AI-driven threat detection. The position is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
A consulting solution architect role owning end-to-end design and delivery of Azure data and analytics solutions on client engagements. The work centers on Power BI architecture and advanced semantic modeling (star schemas, DAX, Power Query), plus governance and deployment guidance, while serving as technical lead and mentor to consultants and engineers. It also includes client-facing discovery and requirements sessions and some business-development responsibility beyond the core specialty.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
A backend and platform software engineer designing and building software for data-center and cloud infrastructure (Python, Node.js, Java) as part of a DevOps team spanning on-prem and cloud. The work is security-minded, using mTLS, OAuth, and CVE remediation, and container- and automation-heavy with Docker/Podman, GitHub Actions, Terraform, and Ansible, in support of mission-critical communications networks.
Summary
A senior software engineer building application, platform, and IT-solutions software (Python, Node.js, Java) for data-center and cloud infrastructure on a DevOps team, across both on-prem and cloud environments. Expect a cybersecurity-aware, container-driven workflow with Docker/Podman, CI/CD, Terraform, and Ansible, plus mentoring of junior engineers, all in support of critical communications networks.
Summary
The title hides the role: this is a Workday HRIS integrations developer — building integrations between Workday and third-party systems using Workday Studio, Core Connectors, and EIBs, supporting the full integration lifecycle for HR initiatives. Includes on-call support and SLA-bound operational tickets, with offshore-team collaboration. Wants 7-8 years of hands-on Workday integration experience; Abbott Park based.
Summary
A software-engineering role at consumer-fintech NinjaHoldings building new systems, refactoring and enhancing existing ones, and integrating with external services across its digital banking and lending products. It is a general-purpose product-engineering position working alongside QA and product managers in a lean, remote-friendly team.
Summary
Consulting data architecture: designing cloud-native data platforms across AWS, Azure, and GCP, leading end-to-end ELT/ETL pipeline architecture in SQL and Python, and building enterprise data lakes and warehouses that support client analytics and AI programs. The role owns technical strategy and secure delivery across complex multi-client environments.
AI-keyword evidence: ai , ml , machine learning, llm
Summary
Hands-on consulting data engineering — building scalable ingestion and transformation pipelines with Python, PySpark, and SQL, and delivering cloud-native solutions on Microsoft Fabric, Databricks, Snowflake, and similar platforms. Positioned as AI-first work that turns raw client data into trusted, analysis-ready assets for analytics and AI use cases.
AI-keyword evidence: ai , llm
Summary
A hardware ML engineer at IMC deploying machine learning directly onto custom hardware, co-designing ML models with trading hardware from the ground up. Hardware/ML research engineering at the Chicago market maker.
AI-keyword evidence: machine learning engineer
Summary
A business intelligence analyst role designing, building, and optimizing Tableau dashboards, extracts, and data sources built on a Redshift analytics warehouse, along with data pipelines and models that power analytics, operational reporting, and downstream ML use cases. The work is BI and data modeling rather than software engineering. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
AI-keyword evidence: machine learning
Summary
Principal-level cloud architecture role designing multi-region, highly available Google Cloud ecosystems for large enterprise clients, including hybrid and multi-cloud connectivity using Anthos, Private Service Connect and Cloud Interconnect, and enterprise-wide Infrastructure as Code standards. The work extends into production generative AI architecture, covering RAG design, security guardrails, capacity and token cost control, and end-to-end MLOps pipelines on Vertex AI or self-hosted models. It is a client-facing advisory role engaging CIO, CTO and VP-level stakeholders at strategic accounts.
AI-keyword evidence: ai , artificial intelligence, machine learning, llm, generative ai
Summary
Staff-level software engineering role with a front-end focus, leading full-stack architecture across multiple scrum teams at a homeowners-insurance company, writing Ruby and TypeScript, setting engineering standards, and mentoring engineers. Remote within the US; the company states it cannot sponsor employment visas for this role.
AI-keyword evidence: ai
Summary
A senior Forward Deployed Software Engineer who embeds with customers to customize and extend an embedded platform, acting as the senior technical lead for integrations and customer solution delivery. Hands-on stack is Python and Django backends, React front-end components, and AWS, plus API/SDK design and Tier-3 escalation support; it also involves direct customer-facing work and likely travel to client sites. Requires 7 years of experience with strong Python/Django, and includes mentoring junior engineers.
Summary
A staff engineer and technical lead at Attain working on Merryfield, a performance-marketing platform that connects better-for-you, clean-label brands with a premium audience. The role architects and builds microservices in Node.js and Go in a high-throughput environment, partnering closely with product to ship features and new revenue opportunities. It fits a hands-on technical lead who balances stability, speed, and customer experience; the Chicago role is four days in office.
AI-keyword evidence: claude code, cursor
Summary
A specialist solutions-architect role at Stripe focused on Payments and money movement — a technical-advisory and pre-sales role for the company's largest, most complex enterprise customers. You would lead customers through financial-infrastructure transformations, co-develop strategies to embed Stripe's payments capabilities (Optimized Checkout Suite and Link) across their platforms, design solution-specific architectures that improve authorization and conversion rates while reducing cost and fraud, and create reference architectures that scale the broader GTM team. A fit for a payments and money-movement industry specialist with a track record designing financial architectures for B2B and B2C enterprises; based in NY, SF, or Chicago.
Summary
Senior backend engineering role in Chime's Trust and Safety organization, providing technical leadership for the modernization of a risk platform that protects members. Responsibilities include driving technical design and architectural decisions, building and maintaining low-latency APIs and backend services, mentoring engineers, partnering with data engineers and analysts, and evolving experimentation, policy lifecycle and machine learning integration capabilities. Five or more years of production software experience plus prior technical lead experience are expected along with Ruby on Rails or a comparable framework, and engineers are required to take part in an on-call rotation that can include responding to incidents outside regular working hours.
AI-keyword evidence: ml
Summary
A site reliability engineer (level III) role supporting CME Clearing and Risk, engineering secure, scalable, and reliable systems that protect the firm's risk management services. The work emphasizes application migrations and maintenance on Google Cloud Platform, building fault-tolerance and self-healing frameworks, and reducing operational toil through automation. It sits at the bridge between development and operations for financial market infrastructure.
Summary
A senior application-development manager role at Hub Group, responsible for building a modern microservices application platform and guiding cloud-native, API-first development. The role oversees all phases of the software-development process with emphasis on quality and on-time delivery, while growing and leading agile engineering teams and shaping platform strategy with leadership. It suits an engineering leader with deep modern-development experience and a track record of building strong teams.
Summary
A Distinguished Engineer at Capital One — a leading technical expert in the cloud-banking domain who devises practical, reusable solutions to complex problems, drives engineering excellence across organizational boundaries, and mentors and recruits technical talent alongside developers, machine-learning experts, and product managers.
AI-keyword evidence: machine learning
Summary
A backend software engineering role on the KeeperApp team building and maintaining server-side services and APIs in the AWS cloud that support one of Keeper's core products. The work involves backend architecture and ownership despite the title listing it as Software Engineer, the JD describes a Senior-level position. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
A senior engineering role on the Privileged Access Management (PAM) team building security-critical, system-level software with deep integration into Windows environments. The work centers on low-level, security-critical components rather than general application development. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
A software engineer on DRW's Cumberland market-data team, building the market-data systems feeding the crypto-trading desks. Data-infrastructure engineering at the Chicago prop trader.
Summary
Cloud advisory rather than engineering: guiding client organizations through the early stages of an Azure transformation by running executive workshops, modeling cloud economics, and building adoption roadmaps. The analyst leads end-to-end cloud financial and technical assessments using tools such as Azure Migrate, Excel, and Power BI, structures and interprets complex client datasets, and turns them into business cases and optimization recommendations. Work happens alongside solution architects, sales directors, and project managers, and includes contributing to pre-sales efforts and multi-tower transformation roadmaps.
AI-keyword evidence: ai
Summary
Solutions architect role at a consultancy leading Azure data-governance and master-data implementations using Microsoft Purview, Profisee MDM, or Databricks Unity Catalog, owning end-to-end architecture, guiding consultants and engineers, and running discovery and requirements sessions. Remote, client-facing delivery with heavy data catalog, lineage, and classification focus.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
Hardware engineering role building FPGA-based low-latency trading systems at a proprietary trading firm, owning the development process from ideation through implementation. Requires HDL coding in VHDL, Verilog, or SystemVerilog plus C or C++, RTL synthesis and timing and area constraints, digital simulators and self-checking test benches, and close collaboration with software engineers and traders. Requires a bachelor's in CE, EE, CS, or related field.
Summary
A detection-engineering role building and operating SIEM, detection logic, and security telemetry across Keeper's cloud-native production and corporate environments. The work centers on security visibility and detection maturity rather than general software development. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
This is a player-coach cloud architect role within a Managed Services consulting practice, weighted toward presales solution support, delivery oversight across client engagements, mentoring other architects, and unblocking billable projects rather than hands-on building. The technical center of gravity is Azure infrastructure (compute, network, storage) with cost, security, and compliance management in the public cloud. The firm states it cannot sponsor work visas.
Summary
Software engineering role on a technical QA team, building modular test-automation frameworks and CI/CD pipelines (in Python, Perl, Java, or Ruby, using Jenkins and Kubernetes) that validate real-time telephony and web signaling flows such as SIP, RTP, SDP, and WebRTC. The position requires fluency in both English and Spanish at C1 CEFR or higher to test and validate Spanish-language call flows, in a hybrid arrangement.
Summary
A staff-level software engineering role leading full-stack architecture for Kin's insurtech platform, built on Ruby on Rails with TypeScript. Beyond writing code, the engineer defines engineering standards, owns architectural planning and technical-risk mitigation for distributed full-stack systems, and mentors engineers across teams as the company scales. Positioned as individual-contributor technical leadership rather than people management.
AI-keyword evidence: ai
Summary
A DevOps engineering role requiring direct, hands-on experience building cloud infrastructure, CI/CD pipelines, and automation specifically within IL5 / FedRAMP High compliant environments. The JD emphasizes high-security, compliance-driven government deployment work. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
A senior frontend engineering role on the Admin Console team, designing and scaling React-based web applications that power Keeper's enterprise administration experience used by organizations worldwide. The work is web UI development for the administrative platform. It is 100% remote in the US, with an optional hybrid schedule for candidates near El Dorado Hills, CA or Chicago, IL.
Summary
This is a performance-engineering role on a multidisciplinary team dedicated to improving the speed of a trading firm's software, hardware, and strategies - benchmarking systems, evaluating new devices, and analyzing latency and throughput across exchanges. It leans on C++ or Python plus tuning of operating systems, compilers, networking, and IO subsystems, and works cross-functionally with trading, quant, and technology teams. The work is optimization and measurement rather than feature development.
Summary
Data engineering role at Akuna Capital, a Chicago-based options market-making firm, building and expanding the data platform and deploying batch and streaming pipelines (Kafka, Spark/Databricks, Kubernetes) across trading, quant, and business-operations workflows. Java/Scala required with Python a plus; also involves mentoring junior engineers and building automated data-validation suites against data-quality SLAs.
Summary
This is a core trading-systems software engineering role building the firm's proprietary options market-making platform in modern C++ on Linux, working closely with options traders on design and ongoing enhancements. Expect mission-critical, low-latency service development with strong grounding in data structures, distributed systems, multi-threading, and asynchronous execution; trading experience is a plus, not a requirement.
Summary
A senior backend engineer role at an early-stage startup building an app-less, SMS-based employee communication platform for frontline workforces. The stack is Node.js (Express, Nest), MongoDB, PostgreSQL, and Google Cloud Platform; the role is based in the company's Chicago office, and the company recently closed a $9M Series A.
AI-keyword evidence: ai
Summary
A senior application-security role on Nerdio's growing security team, building out the AppSec program from inception — its strategy, processes, and tooling — and integrating security into design reviews, threat modeling, code reviews, and penetration testing across web, mobile, and API products. It calls for 10+ years in application security, someone who has led the initial stand-up of an AppSec program, and familiarity with common vulnerabilities and SAST/DAST tooling. The role is remote within the United States.
AI-keyword evidence: fine-tune
Summary
A lead software engineer at an industrial e-commerce distributor with significant autonomy and end-to-end ownership across platform domains, including the McMaster.ai domain-expert AI assistant. Chicago.
AI-keyword evidence: ai , machine learning, ai assistant, llm, openai, claude, copilot
Summary
A manager role leading OppFi's enterprise application engineering team. The work spans enterprise application and integration architecture, Google Workspace and Atlassian administration, SaaS management, license optimization, IAM architecture, Okta, Active Directory, RBAC, SCIM/SAML/OIDC integrations, JML automation, REST APIs, scripting, vendor management, and engineer mentorship.
Summary
An experienced software engineer on Clear Street's Algorithm/Research team, designing and developing execution strategies, algorithms, and the tools that support them for the firm's electronic trading platform. It expects roughly ten-plus years building high-performance algorithmic financial applications and works closely with desk traders and sales. Best for a senior engineer focused on execution algorithms and trading research.
Summary
An experienced software engineer on Clear Street's Algorithmic Execution Services team, building and maintaining high-performance electronic trading systems and their algorithms. The work is full-stack and includes low-latency order routing and horizontally scalable, mission-critical applications. Aimed at an engineer who wants hands-on fintech/trading-systems work at a brokerage platform.
Summary
Despite the architect title, this is a pre-sales and technical-advisory role at an Azure consultancy: providing technical expertise during the sales process, supporting sales teams in pursuing and closing Data & AI and Azure engagements, and building reference architectures and reusable enablement content. It pairs deep Azure Data & AI and cloud-development expertise with client-facing pre-sales work and potential travel, and is remote within the US.
AI-keyword evidence: ai
Summary
A senior full-stack engineer role at NOCD, a Chicago digital-health company expanding access to OCD treatment, building and scaling the systems that connect patients and clinicians and improve measurable outcomes. The work influences architecture and builds full-stack features with a Python backend, TypeScript, REST APIs and microservices on AWS, and relational databases like MySQL. It asks for six-plus years of experience and suits an engineer drawn to mission-driven healthcare technology.
Summary
A data engineer supporting DRW's Cumberland (crypto) and FICCO desks, building the data pipelines behind their trading and research. Data engineering at the Chicago prop trader.
AI-keyword evidence: ai
Summary
A principal AI software-engineering role on West Monroe's Technology & Experience (TechEx) consulting practice, designing and building software for clients with a heavy modern-AI emphasis. You would design, build, and deploy AI agents that automate workflows, develop advanced prompting strategies for LLMs (Claude, GPT, Gemini), own the end-to-end lifecycle of AI features from prototype to production, and integrate AI with backend services and APIs (Java, React, AWS) — while collaborating with clients in an Agile delivery model. A fit for an engineer with 8+ years across multiple languages (C#, Java, Python, JavaScript) and cloud platforms who wants principal-level scope building AI-enabled software for clients; based in Chicago (or other US offices).
AI-keyword evidence: cursor
Summary
A senior mainframe (z/OS) platform engineer at an industrial e-commerce distributor, a specific legacy-platform specialization supporting the systems behind the company's e-commerce and operations. Chicago.
Summary
A research engineer on DRW's Fixed Income, Currencies, Commodities and Options (FICCO) group, building research and trading systems for those asset classes. Research engineering at the Chicago prop trader.
Summary
A trading-systems engineer on IMC's execution-development team, owning systems in the live-trading path (hardware, network, application performance, exchange connectivity) and supporting them in production. A deliberately mixed support-plus-engineering role at the Chicago market maker.
Summary
An engineering manager at an industrial e-commerce distributor owning project delivery and developing engineers across the e-commerce and operations platform, on a path to senior leadership. Chicago.
Summary
A software engineering role building high-scale production software behind McMaster-Carr's e-commerce platform and distribution-center operations, spanning customer-facing web features, LLM-powered search, an AI product assistant, and fulfillment systems. It is positioned as a track toward technical leadership roles that add people, project, and technology management responsibilities.
AI-keyword evidence: ai , ai assistant, llm
Summary
A senior solutions architect role on West Monroe's Energy & Utilities team; West Monroe is a digital-services consultancy. The architect designs and delivers work-and-asset-management and mobile-workforce solutions that optimize asset lifecycle and capital planning for utility clients. Chicago (also Dallas, LA, NY). (Borderline: a solution-design/consulting architect role.)
AI-keyword evidence: artificial intelligence
Summary
A senior software engineer at a long-established industrial e-commerce distributor, working with significant autonomy and end-to-end ownership; one active growth area is McMaster.ai, a domain-expert AI assistant built over product data and customer history. Chicago.
AI-keyword evidence: ai , machine learning, ai assistant, llm, openai, claude, copilot
Summary
Infrastructure architecture role designing and operating high-performance computing (HPC) systems for a trading firm's ML and quant-research workloads, selecting compute, storage, and low-latency networking hardware and managing Linux, GPU, and scheduler (Slurm/Kubernetes) environments and datacenter design. This is HPC infrastructure and systems architecture rather than application software development.
AI-keyword evidence: machine learning
Summary
Senior software engineer with a back-end focus building and scaling the Ruby-based services (with some Python and TypeScript) that power Kin's homeowners-insurance platform. Ships large, complex features end-to-end using Scrum, contributes to architectural decisions, and mentors junior engineers; remote within the US, with no visa sponsorship for this role.
AI-keyword evidence: ai
Summary
A research software engineer on DRW's Cumberland Systematic team, building the systems behind the firm's systematic and digital-asset trading strategies. Research engineering at the Chicago prop trader's crypto arm.
AI-keyword evidence: machine learning
Summary
A senior FPGA engineer at CTC, designing hardware-accelerated logic for the firm's low-latency options market-making systems. Hardware/FPGA engineering at the Chicago market maker.
AI-keyword evidence: ai , artificial intelligence
Summary
A software engineer on IMC's Agentic AI team, building agents, MCP servers, and evaluation pipelines that embed AI into the developer workflow for production-critical systems. AI-tooling engineering at the Chicago market maker.
AI-keyword evidence: build agents, ai engineer
Summary
A C++ software engineer on IMC's Chicago team building low-latency, high-performance trading systems and software that interfaces with custom hardware. Performance-focused C++ engineering at the market maker.
Summary
A quantitative developer on IMC's Pricing and Risk team in Chicago, building the core C++ library for live derivatives pricing and risk that sits in the critical path of the HFT market-making systems. Performance-critical quant-dev work.
Summary
A senior software-engineering-and-AI architect role at West Monroe, partnering with client executives and engineering teams to design and deliver scalable, secure software solutions while shaping the future of the firm's Software Engineering and AI practice. You would lead architecture and technical design across digital product development, application modernization, and systems integration; architect AI-powered applications, intelligent agents, copilots, and workflow automation using LLMs and RAG; lead software-delivery teams through the full Agile lifecycle; mentor architects and engineers; and support business development. A fit for a senior technical leader (with strong full-stack, cloud-native, and AI experience) who can be a trusted client advisor; based in Chicago (or other US offices).
AI-keyword evidence: github copilot, cursor, retrieval augmented generation, vector database
Summary
A principal software engineer role at NinjaTrader designing and optimizing the core, low-latency, 24x7 trading infrastructure behind its retail futures platform, working primarily in Scala with JVM/Akka tuning for a high-volume distributed system. The job includes architectural strategy, observability for real-time trade execution, mentoring, and ensuring compliance with security and regulatory standards; Chicago-based.
Summary
A senior FPGA engineer on DRW's algorithmic-trading group, designing hardware-accelerated logic for ultra-low-latency trading. Hardware/FPGA engineering at the Chicago proprietary trading firm.
Summary
A data engineering role on IMC Trading's Chicago team; IMC is a global proprietary trading firm. The engineer architects and operates IMC's big-data platform and processing pipelines (Kafka, Hadoop, Dremio, Spark, Flink in Java/Python), partnering with development teams on data modeling and ingestion and acting as a big-data subject-matter expert. 5+ years experience; on-site Chicago.
Summary
A mobile app developer at a construction reality-capture SaaS startup building and maintaining native Android and iOS apps and collaborating across the product lifecycle. Must be able to work on-site in Menlo Park, CA; Chicago, IL; or Champaign, IL.
AI-keyword evidence: ai , machine learning
Summary
A full-stack software engineer at a construction reality-capture SaaS startup, building scalable backend and frontend components and contributing to architecture and infrastructure-as-code. Must be able to work on-site in Menlo Park, CA; Chicago, IL; or Champaign, IL.
AI-keyword evidence: ai , machine learning
Summary
AI engineering on the Optiver Applied AI and Platform Engineering team, designing, building and deploying production AI systems such as agent platforms, AI assistants, code review harnesses, evaluation frameworks and agentic research pipelines. The role owns the full lifecycle, from translating ambiguous business problems into scalable solutions to operating and continuously improving systems in production, and includes evaluating foundation models and agent architectures and building evaluation, benchmarking and observability capabilities. Six or more years of professional software engineering experience with extensive production Python is sought, and the work is done in close partnership with trading, research and business teams.
AI-keyword evidence: ai engineer, production llm
Summary
An early-career software engineer at IMC building and maintaining the market maker's trading platform and software stack alongside traders and quants. Entry-level trading-systems engineering (1-3 years) at the Chicago office.
Summary
An AI engineer at DRW, the Chicago-HQ diversified proprietary trading firm, building AI/ML systems applied across the firm's multi-asset trading and operations. Trading-tech engineering at a firm that trades its own capital across global markets.
AI-keyword evidence: ai engineer, production ml
Summary
A trading-engineering and SRE role at IMC Trading, monitoring trading-system health in real time, building automations, and diagnosing distributed-system issues alongside traders and quants (Python required, Linux, Kubernetes). A Chicago role for someone applying a software and reliability mindset to high-performance trading operations.
Summary
A build-systems engineering role focused on Bazel at Old Mission. The work optimizes the firm's software development process, improves build reliability and speed, and supports engineers working on proprietary trading systems.
Summary
Backend development on the trading system of a proprietary market-making firm, spanning trading algorithm development, high speed data analysis, and execution engine design. The stack is C++ on Linux, although the posting accepts broader high level language experience with C++ itself listed only as a plus, and prior financial industry work as optional.
AI-keyword evidence: ai , artificial intelligence
Summary
Digital design work on the trading technology team of a Chicago proprietary market-making firm: writing FPGA logic in Verilog and SystemVerilog to support trading objectives and owning the full cycle from development through simulation, image test, and deployment. The emphasis is latency, with timing closure and static timing analysis called out directly; ASIC design, Python, and equity options background are listed as pluses.
AI-keyword evidence: ai , artificial intelligence
Summary
Cloud infrastructure architect role at 3Cloud providing technical delivery leadership on client Azure engagements, designing enterprise cloud and on-prem networking (VPN/ExpressRoute with BGP, Azure Firewall or third-party NVAs, routing/segmentation, load balancing, DNS, SDWAN) and infrastructure-as-code (Bicep/Terraform). Client-facing consulting and mentoring focus; requires AZ-700 and AZ-305 certifications. Remote, US.
Summary
Not a traditional developer job — this is digital-adoption content work: building in-app guides, tooltips, walkthroughs, announcements, and surveys in Pendo for an insurance-software vendor, with working JavaScript knowledge used to customize guides, tagging, and analytics. It blends writing and product-marketing-style skills with analytics and cross-team training, and is 100% remote within the US.
AI-keyword evidence: ai
Summary
Site reliability role centered on incident response and time to resolution for a SaaS risk-management platform, leading post-incident investigations, identifying root causes and drafting the resulting RCA documents delivered to customers. The engineer maintains and configures the core observability tooling, builds client-focused dashboards and alerts to catch performance problems early, cross-trains colleagues on those tools, and contributes automation that streamlines incident response alongside Cloud Operations and Engineering. Requires around five years in an SRE role, deep experience with observability platforms such as New Relic, Datadog or SumoLogic, ability to read and write code in JavaScript, .NET or SQL, and familiarity with AWS or Azure.
Summary
A (senior) corporate data analyst role at Origami Risk supporting the build-out of a new internal data warehouse: developing and optimizing BI solutions (data models, dashboards, reports), gathering reporting requirements from stakeholders across the business, and using Python and SQL to extract business insights around finance and operations. It is a BI/reporting role rather than software engineering, wanting 1+ years (3+ for senior); Chicago, 67,800 to 101,700 dollars.
Summary
An entry-level software engineering role at an insurance-technology (Insurtech) company, focused on modernizing and reducing technical debt in an existing codebase under mentorship from senior engineers. The work centers on code quality, testing, and CI/CD basics, with exposure to a cloud-native stack (Go, React, C#, Python, GCP, Kubernetes) and AI-assisted development tools. Suited to a recent graduate or early-career developer looking to grow within a structured, guided team.
AI-keyword evidence: ai
Summary
Product engineering role building user-facing experiences on the Origami Risk platform using low-code, no-code and AI-assisted tooling such as Replit, Claude Code and Cursor, explicitly framed as an alternative to traditional hand-written software development. The work is turning business and client requirements into shippable modules, integrating front-end experiences with platform services for data, workflow, rules, reporting, notifications and external connectors through approved APIs, and applying SSO, OIDC and OAuth patterns, secrets management, role and permission models and auditability from the outset. It also carries regulatory and control expectations including SOC 2, HIPAA and PHI handling and PCI, secure SDLC practice, telemetry design, runbooks and collaboration with QA on acceptance criteria and automated checks.
AI-keyword evidence: cursor
Summary
A hands-on data engineering role modernizing a legacy C# .NET ingestion stack into cloud-native pipelines on AWS and a Databricks lakehouse. Work includes building ingestion APIs and file-upload mechanisms, data mapping into SQL Server client databases, and ETL/ELT optimization in a multi-tenant SaaS environment.
AI-keyword evidence: ai , machine learning, ai-assisted
Summary
A hands-on platform and tooling operator owning the systems the engineering org runs on, including Azure DevOps administration and governance, LaunchDarkly feature flags, Flyway migration standards, and AI dev tools like Cursor and Claude Code. An individual-contributor role focused on configuration hygiene, least-privilege access governance, and automating administrative toil. Stated base $100,000 to $122,000.
AI-keyword evidence: claude code, cursor
Summary
A cloud infrastructure DevOps engineering role at Origami Risk supporting product releases and production operations. The work includes Terraform, AWS services such as EKS, ECS Fargate, Lambda, API Gateway, WAF and IAM, CI/CD pipelines in Azure DevOps and GitHub, multi-environment promotion, runbooks, and deployment support for AI initiatives.
AI-keyword evidence: ai , ai-assisted
Summary
Full-stack engineer joining as one of the first engineering hires at an early-stage startup, owning customer features end-to-end and implementing LLM-powered capabilities across text, image, video, and audio. Requires 3-plus years of full-stack experience (TypeScript/JavaScript, React, Python) plus familiarity with Terraform and AWS; includes a meaningful equity stake, based in San Francisco or Chicago.
AI-keyword evidence: ai , llm, generative ai
Summary
Full-stack consulting development: React front ends paired with back ends in Java (or Scala/Kotlin), C#, Node.js, or Python, building custom client solutions end to end with unit testing and troubleshooting along the way. Variety is the point — multiple clients and industries, with active exploration of AI/ML integration encouraged.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A backend software-engineering role on Stripe Infrastructure, the org responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity of its engineers. You could be matched (during final stages) to one of several teams — core tier-0 infrastructure (compute, networking, DocumentDB, distributed caching), developer infrastructure and productivity, data infrastructure (Trino/Presto, Apache Pinot, Elasticsearch), platform teams, or Developer Productivity AI (which owns Stripe's coding agents) — designing, building, testing, and shipping production code daily. A fit for a backend engineer who wants to build foundational platform systems at massive scale; remote in the US or in Chicago, Seattle, or San Francisco.
AI-keyword evidence: machine learning, llm
Summary
ML engineering for consulting clients: designing scalable machine-learning infrastructure with CI/CD for model training and deployment, monitoring production models, and building generative-AI solutions including LLM applications and RAG systems on AWS, Azure, or GCP. Strong software-engineering fundamentals plus client-facing collaboration to define and deliver AI solutions are the core of the job.
AI-keyword evidence: machine learning engineer, ml engineer
Summary
A production engineer on Jump Trading's global High Performance Computing team, operating the HPC infrastructure behind the firm's quantitative research. HPC/infrastructure work at the Chicago prop trader.
Summary
An experienced software engineer at Chicago Trading Company (CTC), the Chicago options market maker, designing and building the firm's trading technology. Trading-systems engineering at the prop trader.
AI-keyword evidence: ai , artificial intelligence
Summary
Consulting software architecture with delivery leadership: leading cross-functional teams across multiple client projects, partnering with CIOs, CTOs, and business leaders on strategic technology initiatives, and owning the full SDLC from requirements through rollout while setting architecture standards. A leadership-heavy consulting role that still designs and builds mission-critical applications.
AI-keyword evidence: github copilot, claude code, cursor
Summary
A front-end UI development role building and extending a core UI platform and business-critical applications, then helping other teams build their own applications on that platform, at a trading firm. The work uses React, TypeScript, WebSocket protocols, and REST in a highly agile environment emphasizing pair-programming, testing, and enabling other developers.
Summary
A Chicago C++ software engineering role building and optimizing Old Mission's automated trading infrastructure. The work is low-latency and performance-sensitive systems engineering for someone who wants to work close to markets.
Summary
A Python software engineering role building trading systems at Old Mission. The role owns projects in a proprietary-trading environment, where Python is used for research, automation, production tooling, and market-facing workflows.
Summary
An early-career software engineering role writing and improving the trading applications that power Valkyrie's activity in financial markets, joining an interdisciplinary team spanning programming, networking and finance. The work expects clean, efficient C++ or C# and experience building complete multi-threaded server-client applications across Windows and Linux, with full ownership of projects from design through deployment and iteration and direct mentoring from senior engineers. Candidates must be able to start full time between January 2027 and August 2027 and must already hold unrestricted authorization to work in the United States, as no immigration sponsorship is offered.
Summary
This role builds and maintains the in-house high-frequency, low-latency trading system at a proprietary trading firm. Day-to-day work spans implementing and deploying trading-system features, monitoring performance, and diagnosing and fixing issues in close collaboration with traders and other developers. It is an on-site position requiring more than two years of relevant experience.
Summary
This role sits with the quantitative team at a proprietary trading firm, focused on strategy development and code optimization for the firm's research pipeline. Work includes building infrastructure to support new trading strategies, profiling and optimizing code, and partnering with traders and developers on project timelines and testing. It is an on-site position requiring more than two years of relevant experience and a STEM background.
Summary
A senior full-stack engineer role at Petrichor, a Chicago venture-backed logistics startup, designing and shipping successive platform modules from planning and design through implementation and maintenance. The core work is building the company's logistics-visibility and inventory-management features and automating customer workflows, partnering with product, sales, and engineering. It is an in-person-first hybrid role, three to four days a week in the Chicago office, suited to a builder who thrives in a fast-paced, customer-focused startup.
Summary
A senior Software Development Engineer in Test (SDET) role building test automation for Hyatt's marketing-technology and personalization platform, which spans web, mobile, email, and on-property touchpoints with AI-driven decisioning. This position is remote.
AI-keyword evidence: ai , ml , machine learning
Summary
A senior data-engineering role building big-data pipelines and data models that serve engineers, analysts and data scientists across Hyatt, with an emphasis on data integrity and analytics enablement. Agile, hybrid in Chicago. For a data engineer comfortable with large-scale pipeline and data-modeling work.
AI-keyword evidence: machine learning engineer, production llm
Summary
Data engineering position on the Data Clean Rooms team within McDonald's Enterprise Data, Analytics and AI group, reporting to the Senior Manager for Data Clean Rooms and sitting alongside architects, product managers and MarTech stakeholders. Day to day is building clean room generation flows and outbound audience activation pipelines spanning GCP, AWS S3 and LiveRamp Connect, and enforcing pipeline, governance, security and quality practices including privacy-safe transformations, hashing and consent handling. Six or more years of data engineering is expected with Python, SQL, Airflow or dbt and platforms such as Spark, BigQuery, Snowflake or Databricks, plus mentoring and work across global time zones.
AI-keyword evidence: ai
Summary
Data engineering role inside McDonald's Enterprise Data, Analytics and AI organization, on the Data Clean Rooms team whose data supports paid media measurement, audience activation, attribution and sales lift across markets. The work is building ingestion, curation and outbound activation pipelines across GCP, AWS S3 and LiveRamp Connect, with privacy-safe transformations, hashing and consent enforcement treated as first-class requirements. Asks for six or more years in data engineering with Python and SQL, orchestration tools such as Airflow or dbt and big data platforms, and includes mentoring junior engineers and coordinating across US, EU, India and APAC time zones.
AI-keyword evidence: ai
Summary
Marketing-data engineering role in McDonald's Enterprise Data, Analytics and AI organization, working on the Data Clean Rooms that feed paid media measurement, audience activation and commerce media decisions across markets. Responsibilities cover pipeline development, data governance, data security and quality including privacy-safe transformations, hashing and consent enforcement, with scalability and maintainability of those systems as an explicit charge. The bar is six or more years in data engineering with Python and SQL, orchestration tooling such as Airflow or dbt, and big data ecosystems including Spark, BigQuery, Snowflake and Databricks.
AI-keyword evidence: ai
Summary
A solutions-architecture management role in McDonald's Global Technology, shaping the architecture behind the chain's digital, delivery and drive-thru platforms. Architecture direction and team leadership rather than hands-on feature coding. For a senior solutions architect or architecture manager at consumer scale.
Summary
A senior enterprise architect role in McDonald's global technology organization, translating strategic business goals into enterprise architecture roadmaps and governing the company's technology landscape through principles, standards, and patterns. The focus is application and data architecture and architectural governance across a large-scale, global omni-channel technology estate.
Summary
This is an engineering management role for McDonald's Drive Thru Orchestration Service. The person leads the platform that coordinates next-generation drive-thru ordering, builds event-driven API-first services, supports menu, cart, payment and fulfillment integrations, guides .NET proxy and WebSocket audio modernization, and enforces API specs and data contracts.
AI-keyword evidence: llm
Summary
Software engineering role in a global restaurant company technology organization, contributing across the agile development lifecycle including design, development, documentation, testing and operations. Engineers on these teams help shape the definition, design and roadmap of product features and then build, test, deploy and maintain the software, with attention to service performance, durability, cost and security. Requires two or more years of non-internship software engineering experience.
AI-keyword evidence: ai
Summary
Software engineering role within a global restaurant company technology organization, contributing across the agile development lifecycle including design, development, documentation, testing and operations. Engineers on these teams help shape the definition, vision, design and roadmap of product features for the digital, delivery and drive-thru technology used across the restaurant estate.
AI-keyword evidence: ai
Summary
A staff-level backend engineering role in Grainger's Customer Order domain, on the Customer Expected Delivery Date team that predicts when customers will receive their orders. The engineer acts as technical subject matter expert for the team and across the domain, drives quality through test-driven development and alignment with architectural principles, and works directly with product managers, architects and stakeholders while growing junior technical talent. The position is hybrid.
AI-keyword evidence: ai
Summary
An engineering management role leading Grainger's Customer Information Management team, which owns the enterprise address platform and delivers centralized services that standardize, validate and serve address data through scalable, API-first solutions. The manager partners with product management, architects, designers and engineers to lead end-to-end project execution and to promote modern software engineering practices. The position is hybrid.
Summary
Full-stack engineering on Grainger's Product Security team, building self-service automated security capabilities that engineering teams across the company consume: secrets management, vulnerability management, policy as code with OPA, and application security risk platforms. The framing is guardrails rather than gates, with ownership running from design and delivery through production support, plus coaching junior engineers and recording decisions in architecture decision records. The role is hybrid from the Lake Forest or Chicago offices and is not eligible for any form of visa sponsorship.
Summary
A lead-level software engineering role developing applications that align with a strategic technical vision, while coaching other engineers on the team. The work involves partnering with stakeholders including product managers and architecture and digging into business requirements to drive the analysis and physical design of technical solutions. The position is remote and is not eligible for any form of visa sponsorship.
Summary
A senior software engineering role on Grainger's Step Data Transformation team, designing, developing and maintaining the applications behind the company's product data management strategy. The work calls for Java development, data engineering, SQL and integration patterns, with master data management expertise built on the job, in close collaboration with lead engineers, product managers and cross-functional partners. The position is hybrid and is not eligible for any form of visa sponsorship.
Summary
Full stack product engineering on Grainger's analytics and insights applications for customers and sellers, spanning a React front end, JVM based APIs, and Python ETL scripts. Beyond feature work the engineer helps define team strategy and evaluates and integrates data and technologies alongside domain experts.
AI-keyword evidence: ai , ai tooling
Summary
Senior engineering role on Grainger's Pricing team, which builds and maintains the applications and data used to derive the price of each product the distributor sells. The posting frames MRO pricing as a genuinely hard technical domain because a market relevant price depends on product, customer, and competitor dynamics, and the team owns evolving that technology. Pricing is described as core to both direct growth and to supporting other growth levers such as marketing.
Summary
A software engineer role in Lake Forest, IL designing and implementing cloud infrastructure as code using AWS CloudFormation, AWS CDK, and reusable Terraform modules. It also deploys and manages containerized applications on Kubernetes and automates infrastructure and operational workflows with Python. Requires a related bachelor's degree plus two years of experience; 100 percent remote work is allowed.
Summary
A lead platform and infrastructure software engineering role building automated, self-service capabilities on AWS that engineering teams across the company can leverage, reducing risk and operational toil through opinionated defaults. It emphasizes working independently on ambiguous problems, driving designs to decisions, and mentoring engineers through code reviews and pairing; visa sponsorship is not available.
AI-keyword evidence: ai
Summary
Data engineering role at an industrial distributor, designing and optimizing the pipelines and backend systems that feed analytics, machine learning models, and customer-facing applications. The posting places it at the intersection of data engineering, data platform, and software development, with a cloud-native and automation focus and explicit integration work against enterprise systems including SAP S/4HANA.
AI-keyword evidence: machine learning
Summary
Lead engineering on Grainger's Customer Order Domain, which owns the Grainger.com shopping cart, the internal capabilities that calculate order cost across freight, pricing and tax, customer-facing order-lifecycle notifications, and the payment and invoicing systems. The work covers delivery of maintainable software for highly complex applications, triaging and resolving production issues, mentoring developers, and partnering with product managers and architecture on technical design. Note a level discrepancy: the title advertises a lead opening while the description scopes it as a Staff Software Engineer at Software Engineer IV; the position is remote.
Summary
Builds the reporting systems and data infrastructure that a proprietary options trading firm's execution business runs on, starting with performance benchmarks across its entire algo suite. Concrete work includes SQL-based data pipelines, dashboards in Tableau, analysis of transaction costs, slippage, and fill quality across strategies and venues, and ownership of data integrity and source validation across internal tools. The posting describes a data function being built from the ground up and asks for familiarity with electronic trading or market microstructure alongside SQL, with Python for analysis and scripting.
Summary
A full-stack .NET/C# and SQL Server role on a small team at Wolverine Asset Management, building and extending desktop business applications (WPF/WinForms a plus). Finance knowledge is welcomed but not required; Chicago-based, for a developer who likes broad full-stack ownership.
Summary
A C# role building Wolverine Trading's options valuation and risk-management systems, working closely with traders, risk managers, and quants. It is unusually quant-heavy for a C# seat, calling for a strong math and statistics background (probability, stochastic calculus, numerical methods); Chicago-based.
Summary
A C++ role focused squarely on Wolverine Trading's latency-critical path — order execution and market connectivity — profiling and eliminating bottlenecks in code that ships straight to live markets. It calls for 2+ years of performance-and-correctness-focused C++; fully on-site in Chicago.
Summary
A mid-level C++ role building the high-performance systems behind Wolverine Trading's strategies, working with quants and traders on risk-management and order-execution components. It is aimed at someone with a solid C++ foundation looking to deepen performance-systems expertise; Chicago-based.
Summary
A low-level C++ role at Wolverine Trading working at the hardware/software boundary to drive latency out of ultra-low-latency trading systems, alongside FPGA and hardware specialists. It requires 2+ years of performance-focused C++ (C++17/20, multithreading); Chicago-based and on-site.
Summary
Generalist product engineering role shipping features end to end across a Kotlin/JVM backend, React Native mobile and React web, and building agent systems with Bedrock, LLM tooling, retrieval-augmented generation and evaluations. The scope includes owning DevOps and AWS infrastructure where needed and making product decisions directly in pull requests when scope is ambiguous, with heavy day-to-day use of AI coding tools expected. The role is Chicago-based and in office five days a week, is open at senior, staff or principal level, and applications are made by emailing the team rather than through a form.
AI-keyword evidence: claude code, cursor
Summary
An entry-level programming role at Paylocity building custom reporting solutions against customer payroll and HR data, using system tools and SQL with some higher-level language work and financial and mathematical calculations. It is client-facing: gathering and refining requirements, testing calculations, reports and system configurations, validating output against specification, and explaining rules, interfaces and calculations to customers. The position is fully remote within the United States with no in-office requirement, and requires availability five days a week during designated work hours.
Summary
Staff-level software engineering role on Paylocity's Time Off team, owning the user interfaces and backend systems behind time-off requests, approvals, configuration, and accruals within its cloud-based HR and payroll platform. The role drives technical direction and architecture for scalable, cloud-native solutions and sets engineering standards across the domain. Fully remote within the US with availability required five days per week.
Summary
A software engineering role at an HR and payroll software company, architecting and implementing modular, maintainable software and leading feature and epic design. The role owns medium to large projects end-to-end and drives technical decisions with business and customer needs in mind.
Summary
Security architecture role inside the information security organization of an HR and payroll SaaS company, defining how AI and machine learning systems are securely designed, deployed and governed across both the enterprise and the product portfolio. The architect holds a permanent seat on the AI Governance Committee as the security and compliance subject matter expert and represents AI security on the architecture review board, partnering with product and technology, data science, procurement, enterprise applications, legal and privacy. Described as hands-on and high visibility, and fully remote within the United States.
AI-keyword evidence: github copilot, claude code, agentic workflow, agentic workflows, vector database
Summary
A management role over Paylocity's Machine Learning Engineering organization, leading a team that builds infrastructure and tooling to power ML and AI features (including platform-wide HR recommendations) for millions of users. It blends ML platform strategy with people leadership rather than individual model-building. Fully remote within the U.S. with no in-office requirement, but available five days per week during set hours.
AI-keyword evidence: machine learning engineer
Summary
A machine learning engineering role at an HR and payroll software company, building and deploying ML solutions and the supporting infrastructure and tooling at production scale. Work combines software development, ML algorithms, and data infrastructure in close partnership with data science.
AI-keyword evidence: machine learning engineer
Summary
Management role leading an IT infrastructure engineering team for Paylocity's private cloud, accountable for the team's technical delivery, operational performance, and people development rather than individual coding. Fully remote within the US with required availability five days a week during designated hours.
Summary
A machine-learning engineering role at Paylocity (a large HR and payroll software company), building the infrastructure and tooling that power ML and AI features for millions of users. You would architect, develop, and optimize ML solutions and models, build platform-wide recommendation capabilities, and collaborate closely with the data-science organization to drive efficiency and best practices — leveraging software development, ML algorithms, and data-infrastructure skills. A fit for an ML engineer who wants to build scalable production ML systems and infrastructure; fully remote in the US.
AI-keyword evidence: machine learning engineer
Summary
A staff software-engineering role at Paylocity leading the technical direction of its International HR Systems Integration team, which builds scalable data-integration and deployment solutions for global, multi-country HR systems. You would architect modular, scalable systems, drive technical strategy and best practices across teams, and own large-scale features — with a current focus on AI-driven initiatives like making the platform multilingual — across a diverse stack (C#/.NET, Python, Ruby, AWS) in two-week sprints. A fit for a senior engineer (8+ years) who blends deep technical expertise with strategic leadership and mentoring; fully remote in the US.
Summary
A staff software-engineering role on Paylocity's Time Management team, which builds the systems at the center of its Time and Labor product — high-volume systems with complex business rules and regulatory change where correctness and auditability directly affect payroll accuracy and compliance. As a staff engineer you would focus on high-level design and technical direction, lead the team toward scalable and stable solutions, advocate for continuous improvement and shorter release cycles, and mentor developers, while being comfortable in large, complex, high-volume systems. A fit for a seasoned engineer who cares deeply about stability, quality, and correctness; fully remote in the US.
Summary
A senior machine-learning engineering role at Paylocity, building and deploying the ML solutions, models, and infrastructure that power data-driven features for millions of users of its HR and payroll platform. You would architect, develop, and optimize scalable ML systems — combining software development, ML algorithms, and data-infrastructure expertise — and collaborate closely with the data-science organization to drive efficiency and best practices, contributing to platform-wide recommendations and product features. A fit for an experienced ML engineer who wants to own scalable production ML infrastructure at large scale; fully remote in the US.
AI-keyword evidence: machine learning engineer
Summary
An engineering-leadership role running multiple cloud-infrastructure engineering teams for an HCM and payroll SaaS company, responsible for infrastructure systems, standards, and shared components powering internal application teams. The focus is strategic and technical leadership (roadmap execution, best practices) rather than hands-on coding. Fully remote within the U.S., with availability required five days a week during work hours.
Summary
A senior machine learning engineering role at Paylocity, a fast-growing provider of cloud-based HR and payroll (HCM) software. The engineer builds ML capabilities into Paylocity's product suite that helps businesses automate HR/payroll and workforce management. Fully remote (US).
AI-keyword evidence: machine learning engineer
Summary
An entry-level AI-developer role at John Galt Solutions, a supply-chain planning software company, building and supporting AI-driven features in its platform. The work is supportive and growth-oriented — assisting senior developers in developing and testing AI/ML models for supply-chain use cases, writing clean maintainable code, contributing to bug fixes and performance improvements, and experimenting with new AI techniques under guidance. A fit for someone early in their career (including those still completing a degree) with familiarity in Python and common ML/AI libraries, basic machine-learning understanding, and a strong willingness to learn; US remote.
AI-keyword evidence: ai , machine learning
Summary
Enterprise-applications administration role providing technical support for Sikich's Oracle HCM and ERP cloud systems, covering configuration maintenance, tailored security roles, OTBI catalog access, data imports and exports, and Oracle service requests. Works alongside application support specialists and the IT Enterprise team to keep production systems accurate and to support implementations and enhancements for HR, Finance, and Client Services. This is an internal IT function rather than a software-development role.
Summary
Architecture leadership role at Tantus, a Sikich subsidiary, on the SIO program supporting CMS. The position acts as the technical connector across three functions, security, enterprise architecture and innovation, and shared solutions and enablement, turning them into one coherent technical direction, and serves as a primary technical contact for CMS stakeholders on architecture, modernization priorities and emerging technology. Much of the work is translating a federal agency's mission needs into a one-to-two-year technology roadmap and representing that direction in the agency's governance forums.
AI-keyword evidence: ai
Summary
Full-stack engineering role at Tantus, a Sikich subsidiary, building and maintaining cloud-hosted and cloud-native applications for federal technology programs. The work spans front end, middleware, back end, APIs and cloud infrastructure, with ownership of repository management, agile practice, coding and design standards, and unit and system tested deliverables. It involves working directly with federal technical and business leads to turn requirements into scalable, maintainable solutions, and expects comfort using AI-enabled tools to speed development and testing.
AI-keyword evidence: ai
Summary
Engineering role at Tantus, a Sikich subsidiary, supporting a government client. The work is translating business requirements into prompts that drive AI foundry platforms to generate full-stack, agent-based systems, then reviewing the generated code for design gaps, inefficiencies and style violations, implementing fixes, and testing, verifying and deploying the finished application. Requirements are unusually heavy for the title: 20 or more years of software, distributed systems and cloud-native development experience, several years of hands-on generative and agentic AI work, and the ability to obtain and maintain a government-issued Public Trust.
AI-keyword evidence: ai , llm, claude, gpt, copilot
Summary
This is an SAP techno-functional engineering role leading the order-to-cash modules (Sales and Distribution, Order Management, Pricing, EDI) for a steel manufacturer, combining functional design leadership with hands-on technical delivery (ABAP debugging, IDOC/BAPI/RFC enhancements, WRICEF development, Fiori). It requires a BS in Computer Science or Engineering, 5 years of SAP SD experience, current US work authorization, and involves less than 10% travel.
Summary
Hands-on architect position on the individual-contributor track, building Lenovo's Qira for Enterprise product end to end - the user experience and front end across Windows, macOS, iOS, Android and web, plus the backend services, APIs and data layers behind it. The work includes enterprise identity and access integration with WorkOS or Auth0, SSO, SAML, OAuth, RBAC and MFA, an enterprise admin console for self-service provisioning, policy and agent governance, an engine that lets customers create and deploy custom agents, and agentic workflow automation connecting to systems such as Workato. The role sets cross-cutting architecture standards for the AI Enterprise Engineering organization while writing production code, may grow into leading engineers and integrator partners, and is hybrid in Chicago with three days a week on site.
AI-keyword evidence: cursor, agentic workflow, agentic workflows
Summary
Senior individual-contributor backend engineering role on Lenovo's Qira cross-device personal AI platform, building the services and integrations that make it enterprise-ready. Work covers identity and access integration such as SSO, SAML, OAuth, RBAC and MFA, audit logging and data segmentation, an enterprise admin console for IT administrators, connectors to corporate identity providers, workflow automation platforms and enterprise knowledge sources, and bring-your-own-cloud deployment across AWS, Azure and GCP with infrastructure-as-code and data-residency handling. Expects eight or more years of production backend, distributed or platform engineering experience; the position is hybrid in Chicago with three days a week on site.
AI-keyword evidence: cursor
Summary
Technical lead role in a global AI center of excellence, owning the full agentic LLM stack from orchestration, tool use and memory through to production deployment. Responsibilities include shipping multi-step reasoning and planning pipelines, building evaluation frameworks for agent reliability and safety, maintaining retrieval-augmented generation systems, vector stores and external tool integrations, and scaling agent systems in production alongside other AI engineers and ML scientists. Requires roughly six years of industry ML or applied AI experience, and the position is hybrid with three days a week in the Chicago office.
AI-keyword evidence: ai engineer
Summary
Hands-on quality engineering for Qira, the cross-device personal AI shipping across Lenovo and Motorola products, spanning functional, regression, integration, and exploratory testing on device, mobile, and cloud. The distinguishing part of the scope is model and agent evaluation - accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests - not just conventional automation and defect triage. The posting specifies a hybrid schedule of three days onsite and two remote and asks for eight or more years in quality engineering or software testing.
AI-keyword evidence: ai , llm
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Try clearing a filter, or broaden the AI filter to Mentioned.
A snapshot of what’s open on this board right now.
Aug 4, 2026
Postings that name AI tooling
By open postings
+ 176 more employers
Time since each role was posted
Stated work arrangement
Level mix across the board
Posting location within the metro
+ 13 more
Range midpoint, annualized (USD)
Tools called out in JDs
Each level’s AI mix — share of that level’s postings, most-senior first
Briefs are short editorial dispatches I publish when something newsworthy happens. They show up here as they happen. Check the global feed.
Every posting is classified into one of three AI buckets: AI required when the description names specific AI tools as required skills (GitHub Copilot, Claude Code, Cursor) or names LLM/agent/RAG/embeddings as core to the day-to-day; AI mentioned when the description mentions AI tooling in passing without it being the core skill; No AI mention when the description contains none of the relevant keywords. Each row shows the matched keyword evidence inline and surfaces named AI developer-productivity tools as expanded-row chips, so you can judge the signal for yourself.
The geographic filter is opinionated. Cook County (Chicago) postings are always included; so are postings across the surrounding commute shed — the Illinois collar counties (DuPage, Lake, Kane, Will, McHenry, Kendall, plus the outer Grundy and DeKalb ring), Northwest Indiana across the state line (Lake and Porter counties — Gary, Hammond, Merrillville, Valparaiso, Portage), and Kenosha County, Wisconsin (Kenosha, Pleasant Prairie). Remote postings are included only when the employer also has a Chicago-area office — otherwise anywhere-in-the-US remote noise would swamp the page. Use the Location filter to narrow to a specific city.
This page is an independent aggregation. Mungomash is not affiliated with or endorsed by any of the employers listed. Application-status tracking and email alerts are out of scope. Per-posting salary ranges are surfaced inline when the employer discloses one — structured ATS fields first, JD-body prose as a fallback; rows with no disclosed range render no chip. For broader salary context, see H-1B Salaries (visa-petition disclosures) and Dev Wages (national survey).
Roughly monthly · in-person · Chicago
Local chapter of the AI Tinkerers network for hands-on AI builders. Three-hour sessions of live demos from people shipping AI agents, RAG systems, voice interfaces, and production AI infra — working prototypes and lessons, not sales talks.
free
Monthly · in-person · Chicago
User-run AWS community holding free monthly evening events in the Loop with rotating host offices and two to three non-sales technical talks. Also runs the annual ChiBrrCon cloud conference each winter.
free
Weekly, Tuesdays 6 PM · hybrid · 750 N Orleans (Braintree office), Chicago
Chicago's weekly civic-technology night: a 45-minute talk from someone working with open data or civic tech, then self-organizing breakout groups that build apps and dig into local data. One of the country's most established civic-tech communities; welcoming to newcomers.
free
Periodic · in-person · Chicago
Developer-oriented AI/ML community running tech talks, workshops, and code labs, frequently featuring engineering leads from Chicago companies and startups working on LLMs and applied machine learning.
free
Periodic · in-person · Chicago
CNCF cloud-native community group for Chicago engineers working with containers, Kubernetes, and the surrounding cloud-native tooling. Talk-and-networking format at local tech offices.
free
Monthly · in-person · Chicago
Downtown Chicago user group for .NET and open-source developers, covering web, cloud, desktop, and application architecture. A separate Chicago .NET Mobile Developers group covers cross-platform mobile.
free
2nd Wednesday monthly · in-person · Hashrocket (West Loop), Chicago
Elixir, Phoenix, and Erlang meetup that gathers monthly at the Hashrocket office in the West Loop, with food provided by sponsors. Functional-programming-focused talks and discussion.
free
Organizers: Hashrocket
Monthly · in-person · Chicago
Face-to-face user group for the R statistical programming language, supported by the R Consortium's RUGs program. Shares slides and code on GitHub; welcoming to analysts and statisticians at any level.
free
Periodic · in-person · Chicago
Chicago's Go programming language meetup. Has a standing Meetup.com presence but a recent-event cadence I couldn't confirm this pass, so flagged uncertain pending re-verification.
free
may be inactive
Monthly + hack nights · in-person · Chicago
Ruby and Rails community running talks and hands-on hack nights across Chicago and the suburbs, with long-standing ties to the 8th Light consultancy. Friendly to people new to Ruby.
free
Organizers: 8th Light
2nd Thursday monthly · hybrid · Chicago
Chicago's long-running official Python user group, with monthly talks hosted at rotating downtown company offices plus a structured mentorship program. Draws a broad crowd from data, web, and scientific-Python backgrounds.
free
Monthly · hybrid · Chicago
One of the oldest Java user groups in the country, running monthly evening talks (now organized on Luma after leaving Meetup.com in 2025) and co-hosting the regional Great Lakes Software Symposium. Often collaborates with the Chicago Kotlin and virtual Java groups.
free
Periodic · in-person · Chicago
Group for developers, operators, engineers, and managers sharing DevOps practices around CI/CD, infrastructure, and reliability. Talk-and-discussion format.
free
Monthly (talks) · in-person · Aon Center, 200 E Randolph St, Chicago
The rebranded Chicago JavaScript group, now a broader software-delivery meetup spanning front-end, back-end, UX, QA, and product. Organized with help from the Bitovi consultancy; talks are hosted downtown at the Aon Center.
free
Organizers: Bitovi
Monthly · in-person · Chicago
Google Developer Group covering Android, Google Cloud, web, and AI tooling, with a companion GDG Cloud Chicago chapter running cloud-focused meetups and hands-on study jams. Beginner-friendly format.
free
CocoaHeads 2nd Tue, NSCoder last Tue (monthly) · in-person · Chicago
Chicago's Apple-platform developer community, splitting the month between formal CocoaHeads talks and informal NSCoder lightning-talk nights at local company offices. Open to designers, testers, and anyone building iOS/Mac apps.
free
Several times a year · in-person · Chicago
Local OWASP chapter focused on application security, running its 'AppSec & Craft Beer' talk nights at Chicagoland breweries in partnership with the regional cybersecurity community. Vendor-neutral, community-driven content.
free
Last Thursday monthly · hybrid · Chicago
The Chicago PyData chapter, a monthly hybrid meetup on Python (and R, Julia, etc.) for data analysis and machine learning. Talks are recorded and posted to the PyData YouTube channel.
free
Monthly (10+ events/yr) · in-person · Chicago
Chicago chapter of the global Startup Grind founder community, hosting monthly fireside chats with local founders and investors plus pitch nights and vertical showcases (food-tech, edtech). Geared toward founders and people moving into startups.
varies
Periodic (several per year) · in-person · Chicago
Chicago arm of the national Tech in Motion series (run by Motion Recruitment), hosting free curated panels, demos, and mixers for developers, designers, and product people. Recent themes center on AI in the product lifecycle.
free
Organizers: Motion Recruitment
Jul 20, 2026 · in-person · Chicago
A citywide tech-ecosystem week (July 20-26, 2026) powered by the P33 nonprofit, stringing together dozens of partner events across startups, AI, quantum, and advanced computing, anchored by the P33 summit and 1871 programming.
varies
Organizers: P33
Sep 10, 2026 · hybrid · Chicago
The premier U.S. Elixir and Phoenix conference, whose 2026 edition (Sept 10-11) is hosted in Chicago and online. Sessions cover production Elixir, LiveView/Phoenix, performance, and AI agents.
paid
Annual, spring · in-person · Irish American Heritage Center, 4626 N Knox Ave, Chicago
A one-day, non-profit Security BSides hacker/infosec conference for Chicago, held in spring at the Irish American Heritage Center. Stepped in as the city's 2026 BSides while the older BSidesChicago took a year off.
paid
Annual, early February · in-person · Hermann Hall, IIT, 3241 S Federal St, Chicago
The AWS Chicago User Group's annual full-day winter cloud conference, held at IIT's Hermann Hall. A community-run alternative to vendor conferences, with multiple speaker tracks on AWS and cloud engineering.
paid
Organizers: AWS Chicago User Group
Biennial, late May · in-person · Irish American Heritage Center, Chicago
Chicago's long-running, low-key hacking conference (THOTCON 0xD ran May 2025). Now appears to operate on a roughly biennial cadence; the next edition (0xE) is expected around 2027, so the near-term date is unconfirmed.
paid
may be inactive — last met May 31, 2025
Last verified 2026-06-11.
founded 2017 · 20-50 people · Chicago, IL
Health-tech company whose Sepsis ImmunoScore was the first FDA-authorized AI diagnostic for sepsis (De Novo, 2024); building a precision-medicine data platform for critical care. Combines a clinical dataset with ML; based in Chicago.
Latest round: $20M Series A (Jan 2026) · led by PACE Healthcare Capital, Labcorp Venture Fund · $40M total raised
Founders: Bobby Reddy
founded 2023 · 20-50 people · Chicago, IL
Building a CFTC-regulated, direct-access exchange and clearinghouse for electricity (power) derivatives to support clean-energy investment. Granted DCM and DCO status by the CFTC; a markets-infrastructure engineering team with offices in Chicago and New York.
Latest round: $30M Series A (Nov 2025) · led by DCVC, XTX Markets, Five Rings · $55M total raised
founded 2019 · 50-100 people · Chicago, IL
Builds foundation-model infrastructure for medical imaging so health systems and developers can train and deploy imaging AI across modalities. Led by radiologist-founder Khan Siddiqui; an AI/ML and compliance-engineering team based in Chicago.
Latest round: $31.5M Series A (Jun 2025) · led by Kivu, Greycroft, Health2047
Founders: Khan Siddiqui
founded 2024 · 20-50 people · Chicago, IL
Invite-only load board and software marketplace focused specifically on Mexico–U.S. cross-border trucking, vetting carriers and connecting them with brokers. Founded by freight veterans; headquartered at 2045 W Grand Ave in Chicago.
Latest round: $12M Series A (Apr 2025) · led by LGVP, Conversion Capital, Primary Venture Partners · $22M total raised
Founders: Matt Silver, Rylan Hawkins
founded 2020 · 20-50 people · Chicago, IL
AI-assisted platform for building and delivering professional certification exams online, cutting the cost and time of standing up new credentials. Backed by Chicago's Hyde Park Venture Partners; a small software team in the city.
Latest round: $11M Series A (Mar 2025) · led by Cherryrock Capital, Hyde Park Venture Partners, Chingona Ventures
Founders: Ruben Garcia
founded 2020 · 100-150 people · Chicago, IL
Deploys factory-floor automation to U.S. manufacturers on a pay-by-the-hour robotics-as-a-service model, handling installation, monitoring, and maintenance. Combines hardware integration with fleet software; headquartered in Chicago.
Latest round: $27.4M Series A (Jun 2024) · led by Blackhorn Ventures, Lux Capital · $59.1M total raised
Founders: Saman Farid
founded 2017 · 200-300 people · Chicago, IL
B2B infrastructure provider that lets banks and fintechs embed crypto, stablecoin, and tokenization features via API. A 2025 $104M round led by Interactive Brokers pushed it to unicorn status; headquartered in the Fulton/West Town area of Chicago.
Latest round: $104M Series D (Sep 2025) · led by Interactive Brokers, Morgan Stanley, SoFi, +1 more · $275M total raised
Founders: Edward Woodford
founded 2016 · 500-1000 people · Chicago, IL
Direct-to-consumer home insurer that uses property data and risk modeling to price coverage in disaster-exposed markets like Florida. Raised a $50M Series E at a $2B valuation in 2025 and reports profitability since 2023; a data- and software-heavy org headquartered in Chicago.
Latest round: $50M Series E (Sep 2025) · led by QED Investors, Activate Capital · $286M total raised
Founders: Sean Harper, Lucas Ward
founded 2010 · 100-200 people · Chicago, IL
Turnkey asset-management platform for registered investment advisors, bundling model-portfolio access with mid- and back-office technology. Took strategic Series C investment from Apollo (2025) and Goldman Sachs (2026); a fintech engineering org headquartered in Chicago.
Latest round: $38M Series C (Aug 2025) · led by Apollo Global Management, BlackRock, J.P. Morgan Asset Management · $80.5M total raised
founded 2016 · 300-400 people · Chicago, IL
Software that helps IT teams and managed-service providers deploy and manage Azure Virtual Desktop, Windows 365, and Microsoft 365 at scale. A $500M 2025 Series C made it a unicorn; crossed $100M ARR; headquartered in Chicago.
Latest round: $500M Series C (Mar 2025) · led by General Atlantic, Lead Edge Capital, StepStone
Founders: Vadim Vladimirskiy
founded 2016 · 150-200 people · Chicago, IL
Builds a data-analytics warehouse engineered for compute-intensive analysis of very large datasets, targeting telecom, ad-tech, and government workloads. Founded by Cleversafe's Chris Gladwin; the engineering team works out of the Loop (20 N Wacker).
Latest round: $42.1M Series B (Sep 2024) · led by Allstate Strategic Ventures, Blue Bear Capital, Northwestern Mutual · $132M total raised
Founders: Chris Gladwin
founded 2015 · 200-400 people · Chicago, IL
Sells an internet-connected countertop steam oven paired with a weekly meal-delivery subscription; scanning a meal's code runs the cook program automatically. A hardware-plus-app-plus-logistics business with its product and software teams in Chicago.
Latest round: $30M Series C (Feb 2021) · led by Left Lane Capital · $68.6M total raised
Founders: David Rabie
founded 2017 · 200-400 people · Chicago, IL
Marketplace where fans buy personalized video shout-outs from celebrities and creators. Smaller and lower-valued than at its 2021 peak but still operating, with a Chicago HQ opened in 2024 and a return-to-office product/engineering core.
Latest round: $28M Venture (Mar 2024) · led by Valor Equity Partners
Founders: Steven Galanis
founded 2011 · 200-300 people · Chicago, IL
Provides carriers a cloud claims-management and virtual-appraisal platform that digitizes the process from first notice of loss through payment. Serves 100+ insurance clients; a Chicago-based insurtech engineering org.
Latest round: $30M Series E2 (Jul 2023) · led by Ping An Global Voyager Fund, Pivot Investment Partners · $107M total raised
Founders: Brad Weisberg
founded 2016 · 300-500 people · Chicago, IL
B2B marketplace connecting bars, restaurants, and retailers with alcohol distributors for ordering, payments, and merchandising; reports over $5B in cumulative GMV. The engineering org is in Chicago.
Latest round: $75M Series C (Sep 2021) · led by Tiger Global · $140M total raised
Founders: Taylor Katzman
founded 2015 · 300-500 people · Chicago, IL
Consumer 'finance super app' combining automated investing, borrowing, and banking; surpassed $12B in assets under management in 2025. Engineering, product, and design are based in Chicago.
Latest round: $150M Series E (Jul 2021) · led by SoftBank Vision Fund 2 · $333M total raised
Founders: Brian Barnes
founded 2012 · 1000-1500 people · Chicago, IL
Operates the largest peer-review marketplace for business software, where buyers compare products via user reviews. Acquired Gartner's Capterra, Software Advice, and GetApp in early 2026. Engineering and data science are centered at the Chicago HQ.
Latest round: $157M Series D (Jun 2021) · led by IVP · $265M total raised
Founders: Godard Abel, Tim Handorf
founded 2003 · 800-1000 people · Chicago, IL
Marketing-automation and CRM platform aimed at small and mid-size businesses, increasingly built around AI-driven campaign tooling. Headquartered at 1 N Dearborn with engineering split between Chicago and international offices.
Founders: Jason VandeBoom
founded 2013 · 50-100 people · Chicago, IL
Data-science software and consultancy spun out of the Obama 2012 analytics team, offering a platform for identity resolution, modeling, and audience analytics used by government, nonprofits, and brands. Achieved FedRAMP Moderate authorization in 2025; headquartered in the Loop.
Latest round: $77.8M total raised
Founders: Dan Wagner
founded 2009 · 300-500 people · Chicago, IL
Zero-knowledge cybersecurity company selling password, secrets, and privileged-access management to consumers and enterprises; surpassed four million paid users in 2025. Headquartered in Chicago with product development distributed across U.S. and international offices.
Founders: Darren Guccione, Craig Lurey
founded 2014 · 700-800 people · Chicago, IL
Cloud platform giving shippers and logistics providers real-time, multi-modal visibility into freight in transit, now layered with an AI-driven transportation management system. One of Chicago's largest venture-scale software companies, with a sizable in-town engineering and data org.
Latest round: $912M total raised
Founders: Jett McCandless
founded 2001 · 1000+ people · Chicago, IL
Maker of RelativityOne, the e-discovery and legal-data-intelligence platform used by law firms, corporations, and government to review large document sets. Originally kCura; a long-standing Chicago software employer with a deep engineering bench.
Founders: Andrew Sieja
founded 2014 · 1000+ people · Chicago, IL
Outsourced fulfillment network for small and mid-size online retailers, pairing a distributed warehouse footprint with software that handles inventory, order routing, and shipping. The product/engineering org sits at the West Loop HQ; warehouses are nationwide.
Founders: Dhruv Saxena, Divey Gulati
founded 2010 · 1000-1500 people · Chicago, IL
Social-media management and analytics platform for brands, covering publishing, engagement, customer care, and AI-driven insights. Headquartered in the Loop and public on Nasdaq (SPT); one of the anchor SaaS engineering shops in the city.
Founders: Justyn Howard
founded 2015 · 2000+ people · Chicago, IL
Health-tech company that sequences tumors and builds AI models on clinical and molecular data to support oncology, cardiology, and radiology decisions. Founded by Groupon's Eric Lefkofsky, headquartered in River North, and public on Nasdaq (TEM); a major Chicago employer of data and ML engineers.
Founders: Eric Lefkofsky
founded 2017 · 300-500 people · Chicago, IL
Self-directed brokerage and trading platform for options, futures, and stocks, built by the creators of thinkorswim and paired with the tastylive financial-media studios. Acquired by IG Group in 2021 for $1B; the platform-engineering team remains in Chicago's Fulton Market.
Founders: Tom Sosnoff, Kristi Ross
Last verified 2026-06-11.
Every employer I track for this metro — including ones with nothing open right now.
Notice a Chicago-area employer I’m missing? A posting that should be here but isn’t? A posting that’s stale or wrong? Something else you’d change about this page? Tell me — a line or two is plenty, I’ll take it from there.
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