Open Seattle software jobs

Summary

A mid-level cloud-native software engineer building platform services, enterprise APIs, and internal automation tooling alongside architects, platform engineers, and site reliability engineers. Work spans application modernization, DevSecOps, and developer-productivity improvements, with some exposure to applying AI to the software-development workflow. Projects vary by business priority rather than centering on a single fixed product.

Summary

A senior engineer building enterprise AI applications and autonomous agents using large language models, retrieval-augmented generation (RAG), and agentic AI frameworks wired into internal systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, and Atlassian. Work spans the full lifecycle from architecture and prototyping to deployment and support, aimed at improving employee productivity. It calls for 4-7 years of software or AI/ML engineering experience in a fast-changing AI environment.

Summary

A customer-facing Salesforce Professional Services consultant who designs and deploys Tableau Server, Tableau Cloud, and Tableau API integrations as the analytics backbone of client data architectures. The role sits on the Missionforce (public-sector) delivery team as a post-sales implementer and technical lead over more junior consultants. It may require spending more than 70% of the time on-site with customers.

Summary

A customer-facing integration architect role on Salesforce Missionforce's Professional Services team, leading the design of complex, multi-phase MuleSoft integration projects using API-led connectivity while coaching engineers and advising client executives on integration and API-management best practices. The posting requires an active Secret security clearance, 10+ years of IT experience with 5+ years leading integration and solution architecture, and 2+ years of hands-on MuleSoft work.

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.

Summary

A forward-deployed Salesforce technical architect role embedding with U.S. Department of Defense, Intelligence Community, and aerospace clients to design and deploy bespoke Salesforce and AI solutions for mission-critical work. It requires 8+ years of enterprise architecture or consulting experience (including 4+ years leading Salesforce Core projects), an active Secret clearance or higher, U.S. citizenship without dual citizenship, willingness to travel 25 to 50%, and completion of a federal background investigation; a Salesforce Certified Technical Architect credential is preferred.

Summary

A senior backend/infrastructure engineering role on Salesforce Data 360, architecting the control-plane services that schedule and orchestrate large-scale compute — batch, streaming, interactive queries, and GPU-backed AI/ML workloads at petabyte scale. The work is distributed-systems design around multi-tenancy, resource isolation, and capacity management, including custom Kubernetes operators and controllers. Oriented toward deep infrastructure and distributed-systems expertise rather than product or UI work.

Summary

A senior data-architecture role for AgentExchange, the Salesforce marketplace where partners list and sell Agentforce, MuleSoft, Tableau, and Slack solutions. The job is to consolidate fragmented telemetry and analytics pipelines into one trusted data platform — defining the canonical data model, the data contracts every team builds to, self-service dashboards (GMV, attrition, install and search), and the ML feature store and lead-scoring models — while engaging executive stakeholders and setting long-term direction rather than doing day-to-day coding.

Summary

Native iOS application development in Swift and SwiftUI for Expedia's mobile booking flow, specifically the checkout step where travelers complete and pay for reservations. The work uses a server-driven UI framework and integrates with GraphQL backend services, and asks for at least two years of shipped iOS experience in Swift.

Summary

Despite the software-engineer title, this is a Senior Data Scientist role on the Customer Data Platform, centered on analysis and measurement rather than building production software. The work is framing ambiguous business questions, running high-impact analyses, and designing KPI and measurement frameworks; it asks for eight-plus years and proficiency in SQL plus Python or R.

Summary

Machine learning engineering for Expedia's Distribution and Supply team, building and deploying models that shape how travel inventory is connected, priced, and surfaced to travelers and partners across the marketplace. It covers the full lifecycle from data sourcing and feature engineering through model deployment, monitoring, and production support.

Summary

Backend engineering ownership of the services that power flight bookings, sitting between airline supply and traveler demand and processing millions of transactions monthly across hundreds of airline suppliers. Java with Spring, plus SQL and NoSQL data modeling, are listed as preferred, and the role asks for five-plus years.

Summary

AI-native builder role on OCI where AI-assisted development, coding agents, and automation-first workflows are the default mode of software creation. Rapidly builds intelligent systems, internal platforms, and cloud-native operational tooling, with success measured by leveraging AI to accelerate delivery rather than by code written by hand.

Summary

Technical-vision and architecture ownership for the billing, cost-management, and FinOps platform behind Microsoft Security — metering, cost aggregation, reporting, and the customer-facing experiences that show what security costs. A cross-team leadership role solving ambiguous problems and setting engineering standards, with preferred depth in commerce, billing, and consumption-based monetization plus the FinOps Foundation framework.

Summary

Test-software engineering on the Windows + Devices Manufacturing Test Solution team, writing automated test content and frameworks that catch manufacturing defects on hardware like Surface and Xbox. Work includes device test platforms, calibration solutions, production-yield monitoring, root-cause analysis, and building agentic AI test tooling in coordination with factory and NPI teams. Targets an immediate start and prefers 2+ years of C# experience.

Summary

Cloud services engineering in Customer Success Engineering within the Commercial Engineering and AI org, building distributed microservices on Azure (App Service, AKS, Functions, Service Bus, Cosmos DB, Azure SQL) that power catalog, search, purchase, fulfillment, metering, and billing. Includes integrating AI features via Azure OpenAI or Semantic Kernel and full end-to-end ownership. A mid-level role requiring 2+ years of coding experience, with an on-call rotation for live-site incidents.

Summary

A growth-engineering role on the Microsoft Edge browser team, blending customer-facing feature development with the platforms behind it. The work combines shipping features that drive user acquisition, engagement, and retention with building the experimentation, telemetry, and large-scale data pipelines that enable data-driven product decisions. Partners closely with product management, design, and data science.

Summary

A management position leading a full-stack engineering team within Microsoft's Commercial Sales Experiences (CSX) organization, part of Microsoft Commercial Business. The team builds apps and engineering solutions that support Microsoft's sellers, and the role owns multiple products, driving AI-infused and agentic solutions with Azure, React, Power Platform, Dataverse, and Dynamics 365 while leading the team across the development lifecycle.

Summary

A mid-level software role in the Commercial Engineering and AI (CEAI) org, designing and maintaining AI-powered products and services for Microsoft's commercial business using its Copilot, LLM, and Azure AI stack. The work is collaborative and cross-functional with an emphasis on Responsible AI, compliance, and security standards. Requires 2+ years of coding experience; stated IC3 base range is roughly 102,100 to 202,200 USD.

Summary

Backend engineering on Copilot Studio's AI Orchestration team, optimizing the generative-AI layer behind millions of conversational and autonomous agents that plug into Copilot, Teams, and voice or IVR products. Responsibilities include running experiments on changes, a DRI on-call rotation, and passing a Microsoft Cloud Background Check. Posted base pay ranges from USD 102,100 to 202,200, with generative-AI and Power Platform or M365 experience preferred.

Summary

Architecture-leadership role defining the cloud, AI, and agentic reference architecture and roadmap for tools and agents serving Microsoft's Customer Success and Consulting businesses. The focus is platform capabilities such as orchestration, retrieval, evaluation, observability, and governance, along with setting decision frameworks (build vs. buy, RAG vs. fine-tune) rather than shipping features directly. Heavy cross-team influence with a Responsible AI and compliance emphasis.

Summary

Backend service engineering in C# on a machine-learning payload-analysis service framed around protecting government assets, leaning heavily on CosmosDB NoSQL stores plus building automation, alerting, and monitoring. A large share of the day-to-day is deployment plumbing and Azure Resource Manager (ARM) template scripting, with an on-call Designated Responsible Individual rotation. Requires US citizenship verification for access to controlled government information.

Summary

Also titled generically, this is really a mobile app engineering lead focused on Android, building a full app stack with test automation in Kotlin, Jetpack, and Compose, and integrating IoT devices via IoT protocols and SignalR. The role leads Android development while overseeing iOS efforts for consistent cross-platform experiences, and covers mobile security practices like encryption and secure communication. It requires a master's in a computing field plus 5 years of experience, with on-site work 3-4 days a week.

Summary

Although titled software engineer, this is a Kubernetes-centric platform and infrastructure role: building cloud-native infrastructure and APIs in Go and Python, custom Kubernetes controllers and operators, and multi-cloud setups across AWS and Azure. It also covers observability (Prometheus, Grafana, OpenTelemetry), infrastructure-as-code (Terraform, Ansible, GitOps), and GPU-optimized Kubernetes clusters for AI/ML workloads. On-site work is required 3-4 days a week.

Summary

A backend-weighted full-stack engineering role building scalable web applications with a Java and Spring Boot backend and a modern JavaScript frontend, including designing REST APIs and owning features from design through launch. The stack leans cloud-native — gRPC, Kubernetes, Docker, Helm, Istio, Redis, and Spinnaker — and the role includes taking part in an on-call rotation to troubleshoot production issues.

Summary

A senior, frontend-leaning full-stack role on Salesforce's Experience Library team, which builds the Page Builder content-authoring and rendering platform behind high-traffic marketing pages across salesforce.com. The work is hands-on frontend engineering — modular blade component libraries, WordPress and CMS integration, and the rendering pipeline — using JavaScript/TypeScript, React, HTML5, CSS3, and Node.js, plus expanding internationalization to new markets. It also includes mentoring junior engineers within a build-it, own-it operational culture.

Summary

A backend individual-contributor engineering role building and improving moderately complex services and APIs used across an Expedia business unit. Alongside the coding, it involves mentoring more junior engineers, production support, and root-cause investigations spanning multiple technologies and databases.

Summary

Backend-leaning software engineering on Expedia's Distribution and Supply Inventory team, building the platform that ingests, stores, and distributes lodging rates and availability data across all Expedia brands. The focus is scalable services, API design, and data modeling for travel shopping and booking at global scale, with five-plus years expected.

Summary

Lead engineering role in Oracle Government Defense and Intelligence designing, building, and operating secure application services and AI-enabled software capabilities for sovereign and government cloud environments. Covers secure application architecture, governed data integrations, evaluation tooling, and production operations across distributed systems, plus mentoring and code review. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

Designs, develops, tests, and maintains secure application services, APIs, and integrations for Oracle Government Defense and Intelligence sovereign and government cloud, including air-gapped regions. Delivers medium-complexity features and participates in production support, incident investigation, and root-cause analysis. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

Designs, develops, tests, and maintains secure application services, APIs, and integrations for Oracle Government Defense and Intelligence sovereign and government cloud, including air-gapped regions. Delivers medium-complexity features and participates in production support, incident investigation, and root-cause analysis. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

An individual-contributor software role owning major features and subsystems within existing Oracle cloud services, responsible for design tradeoffs across security, reliability, scalability, and performance. It involves writing production-quality, tested code and driving operational readiness, including on-call support, issue triage, and root-cause analysis. The role also expects improvements to team engineering practices and mentoring of other engineers.

Summary

Senior individual-contributor role designing, building, and scaling reliable cloud-native services and distributed systems, owning projects end-to-end from architecture through production. Drives technical tradeoffs, mentors engineers, and participates in on-call rotations and incident response.

Summary

A cloud identity engineering role on the Application Identities Platform team within Microsoft Entra (formerly Azure AD), building the high-scale services that decide how applications and AI agents are identified, trusted, and authorized. The distinctive angle is least-privilege identity for autonomous and agentic software, a security control area rather than general app development. Requires 4+ years of coding experience and the ability to pass government security screening.

Summary

Customer Experience Engineering role on the Marketing Growth Engineering team within Commercial Engineering & AI, developing large-scale automation that simplifies and automates Microsoft's internal marketing planning processes with AI. The work emphasizes testable, maintainable code and AI-native engineering practices with telemetry-driven optimization. It targets improving the agility and business alignment of internal marketing operations.

Summary

Group engineering-manager role leading a distributed organization (a new team in Hyderabad plus Redmond) in Windows Commercial, charged with completing last-mile Windows features that major commercial customers need — often by coding directly inside other teams' source trees — and with building commercial data and insights tooling. It is a people-leadership job spanning two geographies and time zones, with a strong push to operationalize AI-assisted engineering into consistent team habits.

Summary

Multiple Software Engineer II and Senior openings across Microsoft's Commerce Platforms organization, spanning financial and revenue systems, global payments, offer and data models, and commerce cloud infrastructure. Work involves distributed systems, cloud-native services, AI-powered and agentic capabilities, and mission-critical transaction processing at global scale. Requires onsite presence three days a week in Redmond, WA.

Summary

A systems-and-networking-heavy security engineering role building large-scale distributed networking security services within Microsoft Security. Unlike a generic full-stack post, it calls for deep low-level skills: 6+ years in C, C++, Golang, or Rust, working knowledge of core networking protocols (HTTP, TLS, TCP/IP, DNS), and Windows OS internals. Involves live-site reliability work and using AI to build security capabilities.

Summary

A senior engineering role building the AI inferencing infrastructure that powers Microsoft's large language model services across Microsoft 365 and Copilot products. The distinctive focus is GPU management and hyperscale, cost-efficient inference platforms — the plumbing that serves LLMs at scale — rather than end-user features. Sits on the M365 Core AI Inferencing Engineering team within the Copilot, Agents, and Platform organization.

Summary

Backend engineering on Copilot Studio's AI Orchestration team, tuning the generative-AI layer that lets millions of conversational and autonomous agents take actions and make decisions across Copilot, Teams, and voice or IVR channels. The role involves DRI on-call duty and passing a Microsoft Cloud Background Check. Posted base pay ranges from USD 102,100 to 202,200; preferred candidates have shipped generative-AI services and know Power Platform or M365 development.

Summary

Engineering on the Secure Production Access (SPA) team within Cloud and AI / Microsoft Security, building the internal products and services that give thousands of Microsoft engineers secure, compliant access to production environments. This is infrastructure and reliability work owned end-to-end rather than customer-facing features. Based in Redmond with an at-least-three-days-per-week in-office requirement.

Summary

A principal software engineer designing and building scalable, highly available software using virtualization, microservices, software-defined networking, network functions virtualization, and big data platforms, which is telecom-infrastructure software work. The role carries technical leadership through mentoring engineers, shaping architecture decisions, and influencing technology strategy. Posted base pay is $133,500 to $240,700 with a 20% bonus target.

Summary

Despite sitting under a software category, this is a customer-facing consulting role in Salesforce Professional Services, not an engineering job. The Solution Architect leads workstreams on large enterprise implementations, acting as a hands-on strategic advisor who co-creates the solution vision with the client, drives delivery, and presents to stakeholders up through the C-suite. This posting is oriented to public-sector industry experience and rewards strong facilitation, Salesforce product knowledge, and consulting delivery skills.

Summary

Platform engineering for Expedia's internal ML Platform, the shared tooling and services that support the machine learning lifecycle from feature engineering and training through real-time inference, monitoring, and cost transparency. The aim is to lower the barrier so other teams can ship models, so this builds ML infrastructure rather than the models themselves, and asks for eight-plus years.

Summary

A hands-on technical leadership role on an internal developer-experience team building a marketplace of autonomous AI agents to improve engineering productivity across Expedia. It combines setting technical strategy for the agent platform with direct building and guiding other engineers, and asks for roughly six-plus years with a master's degree or eight-plus with a bachelor's.

Summary

Builds major components of Oracle's cloud infrastructure on the Technical Strategy Oversight team, specializing in distributed database systems and cloud services that serve as the centralized database store for Oracle Public Cloud. Java and Python distributed-systems role, with Terraform and Ansible knowledge preferred.

Summary

A software-engineering management role leading a full-stack team in Microsoft's Commercial Sales Experiences (CSX) organization, which builds the internal apps and tools that Microsoft's sellers rely on. The focus is delivering AI-infused and agentic enterprise applications using Azure, React, Power Platform, Dataverse, and Dynamics 365, alongside leading the team across the full development lifecycle.

Summary

An ML engineer on Microsoft's Copilot Security Engineering team building production ML systems that defend AI products against prompt injection, adversarial inputs, and agentic-workflow abuse. The job blends applied security research with system-building — creating datasets and evaluation and red-teaming loops, training detection and classification models, integrating defenses into secure orchestration frameworks, then tuning precision and recall from telemetry. Suited to someone strong in both ML systems and the security domain, working alongside applied scientists and product teams.

Summary

Despite the generic title, this is a security and authentication-focused role on Microsoft's Windows 365 and Azure Virtual Desktop team, which delivers cloud-based virtual desktops. The work centers on securing how users connect to cloud PCs over Remote Desktop Protocol — modernizing authentication protocols, enforcing secure-by-default practices, and driving adoption of phishing-resistant credentials. Sits within the Windows Cloud Experiences organization.

Summary

An engineering-management role leading the team behind M365 Core Messaging, the large-scale distributed messaging platform powering Microsoft Teams, Microsoft 365, and Copilot experiences. This is a people-and-strategy leadership position — building and coaching the engineering org, setting technical direction, and driving live-site operational excellence — rather than an individual-contributor role. Centers on messaging and AI infrastructure at global scale.

Summary

Although titled Senior Software Engineer, this is an identity-infrastructure role on Microsoft Security's Authentication Infrastructure team, which builds the systems behind sign-in and access across Microsoft 365, Azure, and Entra. The work is deep backend engineering on token services, session systems, and key management, with heavy focus on availability, security, and performance for authentication at global scale.

Summary

A principal engineer on T-Mobile's Network Data and AI team, architecting enterprise-scale AI and data platforms that turn network, device, and customer data into data products and AI-powered solutions. The work is hands-on plus architectural, building reusable AI services with generative AI, retrieval-augmented generation (RAG), agentic AI, and enterprise knowledge systems to support network operations and engineering productivity.

Summary

A Salesforce platform developer specialization rather than general software engineering: hands-on Apex, JavaScript, and Lightning Web Components, plus Salesforce Industry CPQ configuration, Aura components, Heroku, and REST and SOAP integrations. It requires a bachelor's plus 5 years of experience (or advanced degree plus 3), with Salesforce Platform Developer or Cloud Development certification preferred and some travel required.

Summary

A site reliability engineer focused on non-production environments, designing and maintaining CI/CD pipelines and cloud-native platforms with DevOps automation. Day-to-day involves environment management, automated VM provisioning, and monitoring dashboards using tools like Jenkins, GitLab, GitHub, AppDynamics, and Splunk across Windows, Unix, and RHEL servers, plus CQL/SQL reporting. It is based in Bothell, WA and requires on-site work 3-4 days a week, with a Washington pay range of $152,976 to $164,000.

Summary

Though titled full-stack, this role sits on Expedia's Identity experience, the web and mobile UI and front-end systems behind login, sign-up, account management, and cross-brand navigation. It leans front-end, using React, Node.js, and TypeScript against GraphQL APIs while also shaping the GraphQL schemas that power login and profile flows.

Summary

Hands-on ML/AI software engineering leadership role building and operating production-grade agentic AI platforms and autonomous workflows on Oracle Cloud Infrastructure. Sets architecture and engineering direction for scalable inference infrastructure and enterprise AI applications, orchestrating LLMs, tools, APIs, memory, and retrieval. Expected to ship, scale, and operate reliable, secure, cost-aware AI systems while raising the engineering bar.

Summary

Hands-on ML/AI software engineering leadership role defining, building, and operating production agentic AI platforms on Oracle Cloud Infrastructure. Sets architecture for autonomous workflows, scalable inference infrastructure, and enterprise AI applications, combining distributed systems with LLM orchestration, retrieval, evaluation, and guardrails. Remains deeply hands-on in design, code, and operations.

Summary

Designs, develops, tests, and maintains secure application services, APIs, and integrations for Oracle Government Defense and Intelligence sovereign and government cloud, including air-gapped regions. Delivers medium-complexity features and participates in production support, incident investigation, and root-cause analysis. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

Engineering management role leading multiple application software teams in Oracle Government Defense and Intelligence that own secure, scalable services for sovereign and government cloud. Manages the software development lifecycle, secure-development practices and standards, and team coaching, hiring, and promotion readiness. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

Senior individual-contributor role in Oracle Government Defense and Intelligence designing, building, and operating secure application services for sovereign and government cloud, including regulated, classified, and air-gapped environments. Leads complex design, code review, automation, and resolution of production and integration issues across distributed systems. Requires US citizenship and an active TS/SCI with Poly clearance at hire.

Summary

Distributed-systems and Linux systems engineering for OCI's GPU AI infrastructure, owning services for GPU delivery, health monitoring, testing, triage automation, and diagnostics across thousands of GPUs. The In-Band Engineering team handles automated testing of new platform shapes (AMD/Intel/Arm/Nvidia), hardware bring-up, configuration, and benchmarking at the boundary of bare-metal hardware and orchestration. It involves interfacing with NICs, SmartNICs, ILOMs, and GPUs using RoCE and InfiniBand.

Summary

Technical-leadership role in OCI's Technical Strategy and Oversight org building a from-scratch key-value store that supports billions of keys and millions of requests per second at sub-millisecond latency, as a canonical data-plane component for core cloud services. Drives architecture and hands-on development of low-level, high-performance distributed systems.

Summary

A principal ERP-applications developer role at the Providence health system, not general software engineering — the work applies to Oracle Cloud FSCM and HCM, Oracle EBS/EPM, PeopleSoft, or Workday across HR, payroll, supply chain, finance, and nurse scheduling. Requires a Bachelor's and 10 years of experience, including SQL/PLSQL and large-scale ERP implementations. Fully remote, but only from a state where Providence has an office (AK, WA, OR, CA, MT, TX, or NM).

Summary

Sets technical direction for securing AI inside Microsoft Entra's identity stack, on the Conditional Access team that owns the real-time policy engine deciding who gets access on every sign-in. The central project is the Conditional Access Optimization Agent, an AI system that reasons over an organization's policies, flags risky gaps, and safely applies hardening changes without breaking users. The role spans the policy engine, Identity Protection risk signals, and the emerging agent-identity platform, framed as both securing the agents Microsoft ships and using agents to protect customers.

Summary

A mid-level engineering role on the Microsoft Edge Growth Deep Personalization team, building the platforms and services that deliver AI-driven personalized browser experiences to hundreds of millions of users. The work leans into machine learning, large language models, on-device AI, and reinforcement learning combined with experimentation frameworks. Employees within commuting distance of a Microsoft AI office are expected onsite at least four days per week starting January 2026.

Summary

A mid-level engineering role on the Copilot Tuning team, a new Microsoft 365 product that lets organizations fine-tune large language models on their own data to create task-specific agents. The work is building and operating the scalable cloud services behind that product on a small, fast-moving team. Sits at the intersection of AI, distributed systems, and cloud-scale infrastructure.

Summary

A security-specialist engineering role on the Microsoft Defender for Endpoint team, focused on software supply-chain threats such as malicious npm packages, typosquatted dependencies, and compromised updates, catching them before they reach developers or production. It is greenfield work analyzing code at ecosystem scale and building protection into GitHub, Visual Studio, Azure, and open-source platforms.

Summary

Customer-embedded engineering on Microsoft's Industry Solutions Engineering team — writing code side by side with strategic customers' engineers to build cloud solutions, broadly applicable solution patterns, and open-source assets, deliberately not limited to Microsoft technologies. The role includes Designated Responsible Individual on-call duty, monitoring services and restoring them for simple problems. Pitched at the Software Engineer 2 level, it fits a developer who wants consulting-style variety and direct customer collaboration inside a product company.

Summary

A senior software engineering and SRE-leaning role on Microsoft's Specialized Cloud (MSC) team, deploying and operating Azure Data services inside an air-gapped, highly regulated environment for public- and private-sector customers. The work centers on live-site reliability — debugging via logs and telemetry, on-call DRI duty, incident postmortems, and instrumentation — meeting strict security and assurance requirements. The CTJ-Poly designation indicates a U.S. government clearance with polygraph is required; listed in Atlanta.

Summary

Principal software engineer on Microsoft's Industry Solutions Engineering team, co-developing cloud-based solutions and open-source assets side by side with strategic customers' engineers across a variety of technologies, not just Microsoft's. Includes on-call duties as a Designated Responsible Individual; requires a bachelor's in computer science plus 6+ years.

Summary

A customer-facing senior engineering role on Microsoft's Industry Solutions Engineering team, which embeds with strategic customers' engineers to jointly build cloud solutions and open-source assets. Unlike a typical product role, the work spans a wide range of technologies beyond Microsoft's own stack and includes on-call Designated Responsible Individual duties. Posted across several metros including Boston, Chicago, Atlanta, and Seattle.

Summary

A senior engineering role on Microsoft's Specialized Clouds team within Cloud and AI, building and operating cloud services that underpin Microsoft's sovereign-cloud strategy for customers with data-residency and operational-control requirements. The engineer owns services end to end and serves as a Designated Responsible Individual, which includes on-call duty to monitor and restore critical services. Focus is distributed-systems reliability, security, and scalability.

Summary

A strategy and business-operations leadership role within T-Mobile's Network Deployment and Initiatives team, accountable for network hardware deployment readiness and integrating deployment process with financial and operational planning. It centers on building and coaching a team of senior engineers rather than writing software, driving deployment efficiency for network infrastructure. Emphasizes high-agency ownership and incorporating AI into how the team works.

Summary

Architects and delivers greenfield OCI core-infrastructure data-plane and control-plane services, including a fully managed serverless NoSQL key-value store and a journaling service for immutable sequential logs. Focuses on high-performance persistent storage, container runtimes, and distributed frameworks at global scale.

Summary

Engineering leadership role managing a team that designs, develops, and debugs software programs for databases, applications, tools, and networks within OCI. It applies software architecture knowledge to guide development of applications, operating systems, and databases and to evolve existing architecture. The scope is broad software engineering management.

Summary

Senior or Principal full-stack role on the Commercial Sales Experiences Engineering team within Microsoft Commercial Business, leading the full lifecycle to build AI-infused applications, agentic solutions, and Copilots for internal seller tooling. The stack spans Azure, Dataverse and Dynamics 365, Power Platform, and React, with ownership of architecture, database design, and secure, scalable delivery. It is positioned as a startup-like environment owning multiple products across the sales platform.

Summary

An engineering-leadership role on Microsoft's Cloud Operations and Innovation team, architecting the planning and optimization software that decides how datacenter capacity and supply-chain resources are allocated. It blends software architecture with algorithmic optimization to reduce waste across capacity plans that drive billions in spend, and carries heavy technical strategy and cross-organization influence.

Summary

AI-accelerator systems architecture role in Azure's Hardware Systems and Infrastructure organization (SPARC and ASA group), driving software bring-up, performance analysis, and optimization across multiple generations of AI accelerators. The work spans the full stack — low-level kernels, compiler and runtime integration, distributed training and inference serving, networking, and fleet-scale behavior — to guide hardware-software co-design decisions. Based in Boston or Seattle.

Summary

A multi-position req covering several Principal Software Engineer and Principal AI Engineer openings across Microsoft's Commerce Platforms, spanning financial and revenue systems, global payments, offer and data-model services, commerce data, and cloud infrastructure. Each role is a technical-leadership position driving architecture, service modernization, and AI-native engineering across large-scale, compliance-sensitive commerce systems.

Summary

A mid-level engineering role building scalable backend services that power agentic experiences and AI agents for enterprises, working where distributed systems, cloud services, and large language models meet. The role includes on-call Designated Responsible Individual duties. Microsoft describes a hybrid setup of three days per week in the office, and the position requires passing Microsoft cloud security screening.

Summary

A senior engineering role on Microsoft's Monetize advertising platform, specifically the Auction Logic team that runs a real-time auction for every ad impression. The work is low-latency distributed-systems engineering: building and optimizing the servers that execute dynamic ad auctions in under 100 milliseconds at several million queries per second. The engineer functions as an architect owning core parts of the real-time ad-exchange platform.

Summary

A principal engineering role building the AI inferencing infrastructure behind Microsoft 365 and related Copilot services, where GPU management is the core challenge. The team operates hyperscale, cost-efficient, compliant infrastructure that lets other engineers and applied scientists run large language models, so this is platform and infrastructure work rather than application development.

Summary

A principal technical-leadership role on Microsoft AI's Web Data Platform team, architecting Internet-scale systems that collect and process web documents to ground large language models for Bing Search, Copilots, and AI training. The scale is central, with tens of billions of documents a day and hundreds of petabytes of data. A four-day-a-week onsite expectation applies to Microsoft AI staff near a US office starting January 26, 2026.

Summary

Principal engineering on Azure Content Understanding, building end-to-end multimodal AI systems that turn unstructured text, documents, audio, images, and video into structured insights. Combines software engineering with applied ML (retrieval-augmented generation, evaluation, context engineering) to ship and continuously improve production systems. Requires passing Microsoft Cloud background and security screening.

Summary

A media and graphics-remoting engineering role on Microsoft's Windows Cloud Experiences team, building the next-generation remote desktop experience. The core work is real-time video engineering — enhancing the RDP protocol for low latency and building media pipelines with modern codecs such as H.264 and HEVC for efficient compression and decoding. Requires a Bachelor's plus 4-plus years of experience and the ability to pass Microsoft cloud security screening.

Summary

Backend engineering in Microsoft's Business and Industry Copilots group, which owns Dynamics 365, Power Apps, and Dataverse. The specific work is building a suite of microservices that deliver near-real-time insights over data within Microsoft Agent 365, with heavy emphasis on debugging, reliability, security, and operating at scale.

Summary

A senior backend role on the Dataverse Runtime team within the Business and Industry Copilots group (Dynamics 365 and Power Platform), owning the secure, scalable cloud services and enterprise data platform behind Dataverse. It is pitched as a technical-leadership and mentoring position driving architecture and live-site resiliency, with emphasis on enabling agentic AI and autonomous enterprise workflows.

Summary

A people-management role, principal software engineering manager, on Microsoft AI's Web Data Platform team, leading engineers while staying hands-on with architecture, design, and code. The team builds web-scale platforms and models for semantic understanding of multi-modal documents that power Bing Search, AI grounding, and AI training for over a billion users. A four-day onsite expectation applies to Microsoft AI staff near a US office from January 26, 2026.

Summary

Backend and data-infrastructure engineering for Microsoft AI, designing distributed data systems, APIs, and personalization pipelines that let Copilot adapt to each user's context, preferences, and history. It is a principal-level individual-contributor architecture role. Note the stated onsite expectation: from January 26, 2026, Microsoft AI staff within a 50-mile commute of a US office are expected to work in the office at least four days a week.

Summary

This is software engineering on the OCI Networking data-plane team, re-architecting the cloud's routing foundation and building large-scale distributed systems for routing, workload placement, and fleet management. It targets engineers with strong computer-science fundamentals and a deep understanding of networking and routing at cloud scale.

Summary

A software engineering role helping build and operate OCI's Secrets Service, a tier-0 platform in the Cryptography division that manages the lifecycle of highly sensitive secrets. It emphasizes high standards for security, scalability, availability, and compliance within an existing service architecture.

Summary

People-management role leading and growing a team on the Microsoft Foundry Experiences team within CoreAI, which builds the SDKs, UI, and agentic experiences developers use to build, deploy, and operate AI applications spanning inferencing, knowledge and memory systems, model customization, and multi-agent solutions. Responsibilities center on setting technical direction, coaching engineers, and running the team's execution rather than hands-on individual coding.

Summary

A backend engineering role on Salesforce's Agentforce Reasoning Engine, building the core Python/FastAPI service that powers multi-agent orchestration for many concurrent tenants — including stateful session management across LLM call chains using Redis and distributed storage. It calls for about 4+ years building production backend or AI systems, strong async Python, and hands-on LLM integration and prompt engineering, with a related technical degree required. Based in San Francisco and Bellevue.

Summary

A Principal-level architecture and technical-leadership role on Salesforce's Tableau process-intelligence team, owning end-to-end design of backend (gRPC/Python) services and full-stack apps that let enterprise customers map, simulate, and optimize their business processes. It pairs distributed-systems and analytics work with hands-on security architecture — identity-provider integrations, mTLS, and threat modeling — plus defining SLOs and leading on-call service ownership across teams. Requires 10+ years of experience and acting as a cross-team technical representative up through VP-level leadership.

Summary

A full-stack engineering role on Salesforce's Agentforce platform, owning features end-to-end from backend APIs and data modeling through React/TypeScript UI, while also building AI-agent tooling with agentic frameworks, RAG patterns, and tool and function calling. It blends conventional full-stack development in Java or Python with hands-on generative-AI and agent work. Based in San Francisco or Bellevue and requires a related technical degree.

Summary

Software engineering leadership role directing multiple teams that build OCI's application deployment platform used across the company, defining technical vision and driving both the speed and safety of deployments. Requires deep distributed-systems and developer-infrastructure expertise.

Summary

Principal backend software engineer designing and evolving backend services, APIs, and core server-side systems for OCI's distributed cloud platforms, with architectural ownership and engineer mentoring. Note: office-based onsite role (Nashville or another listed Oracle office); remote work is not available.

Summary

Engineering management role leading a team building production AI solutions that automate legal (CELA) matters-management workflows. Combines hands-on software engineering leadership (architecture, code review, live-site and incident response) with people management, roadmap ownership, and vendor coordination. Strong emphasis on Responsible AI, security compliance, and lifecycle governance of deployed AI systems.

Summary

An internal platform-and-tooling role in a new Engineering Excellence organization within Microsoft Security, building the developer infrastructure, build pipelines, validation workflows, and telemetry that many security engineers depend on. The focus is integrating AI into the development lifecycle and measuring improvements in engineering velocity and adoption, not shipping end-user security products. Requires 4+ years of coding experience and government security screening eligibility.

Summary

Internal developer-platform role in Microsoft Security's new Engineering Excellence organization, building shared platforms and agent-augmented tooling that raise developer productivity across the org rather than shipping customer-facing features. The work consolidates fragmented build, validation, and observability tooling into a cohesive foundation and drives broad adoption of AI-first engineering workflows at scale.

Summary

An applied-science role on Microsoft's Responsible AI team, doing supervised fine-tuning and RLHF on LLMs and designing adversarial safety evaluations and mitigations for AI agents at scale. It is a research-meets-production role -- model training, evaluation, and deployment -- with an NLP and deep-learning emphasis. Requires passing Microsoft Cloud background and security screening.

Summary

An engineering role on Salesforce's Network Visibility and Telemetry team within datacenter operations, building the systems that collect metrics, telemetry, and alerting across data-center infrastructure — network, storage, and servers — and automate systems services so issues surface where action is needed. Requires at least 4 years supporting distributed services (in languages such as Clojure, Java, JavaScript, or Python) plus REST APIs, Jenkins CI/CD, and RedHat Linux administration, and it includes an on-call rotation. This is infrastructure and monitoring engineering rather than customer-facing product work.

Summary

Backend engineering for AI-native platform services, building APIs and integrations for hosted agents, MCP gateways, tool execution, guardrails, and enterprise workflow automation. It develops secure patterns for tool execution, policy checks, human approval flows, and audit traces, integrating with agent runtimes, identity systems, and Oracle service APIs. The role partners with multiple Oracle product teams to turn business workflows into production agentic solutions.

Summary

Software engineering leadership for OCI's Key Management Service, a foundational cryptographic service providing secure key lifecycle management for Oracle's cloud and customers. It leads technical initiatives across the KMS stack, from cryptographic hardware integration to distributed-systems architecture and operational excellence in large-scale production. The service is built to high standards for security, scalability, availability, and compliance.

Summary

A customer-facing Cloud Solution Architect role in Microsoft's Customer Experience and Success org, helping enterprise customers design and ship production-grade generative-AI applications and agent-based systems on Azure. The work is part technical architecture and part delivery leadership, driving repeatable delivery patterns and feeding field insights back to Microsoft's engineering and product teams. It is an advisory and architecture role rather than a product-development position.

Summary

Full-stack engineering on Microsoft's Security Exposure Management platform, building high-throughput distributed services that continuously discover assets, map attack paths, quantify exposure, and drive remediation. The role owns components end-to-end from design through production operation, with emphasis on testing, telemetry, and large-scale data processing using tools like Kusto/Azure Data Explorer and Spark.

Summary

Technical lead defining the architecture for RAMP, Microsoft's internal AI-powered workforce resource-planning platform used as the system of record for how engineering divisions plan and allocate talent, sitting across engineering, HR, and Finance. The mandate is evolving the platform from traditional reporting toward agentic, predictive, and increasingly autonomous planning at the scale of thousands of users. Reports to the platform senior director and works as the technical counterpart to product management.

Summary

An individual-contributor engineering role designing and hands-on building Salesforce's next-generation cybersecurity data platform — the ingestion, processing, storage, APIs, and analytics that carry critical security data flows. The core stack is Apache Spark, AWS S3, and streaming/batch pipelines, with work on self-service onboarding tools for data producers and high-performance APIs for consumers, and an eventual path toward a multi-tenant SaaS product. This is a senior technical-pillar IC role centered on data engineering and distributed systems rather than people management.

Summary

A full-stack engineering position on Salesforce's Agentforce platform, building features end-to-end — backend services and APIs through polished React/TypeScript interfaces — alongside AI-agent tooling built on agentic frameworks and LLM-backed workflows. It combines standard full-stack work in Java or Python with generative-AI patterns such as RAG, tool and function calling, and surfacing agent traces in the UI. Based in San Francisco or Bellevue and requires a related technical degree.

Summary

Despite the generic Service Engineer title, this is an endpoint-management and device-operations role at the Providence health system, owning the platforms that manage Windows and macOS devices at scale — Microsoft Configuration Manager/SCCM, Intune, and Jamf — including OS deployment, Autopilot, compliance reporting, and automation. The work involves root-cause troubleshooting, ongoing service reliability, and setting technical direction for endpoint management rather than general application development. It requires a bachelor's degree and 5+ years of related experience with a focus on deployment and recovery automation, and is hybrid.

Summary

A deeply hands-on Python engineering role building and deploying security-automation and agentic playbooks (on the Luna platform) into Salesforce's Government Cloud so its Government Security Operations Center incident responders can automate triage, containment, and response. The work pairs incident-response automation with LLM-backed agents and MCP integrations under GovCloud isolation and compliance constraints, and includes business-hour on-call. Strict eligibility: candidates must be U.S. citizens (born or naturalized), residing on U.S. soil, without dual citizenship, and able to pass government screening.

Summary

A data engineering role building the feature-store infrastructure behind a machine-learning platform on Salesforce's Growth & Retention Intelligence team — serving features for batch, real-time, and streaming ML use cases and enforcing governance, lineage, and versioning. It calls for 5+ years in data engineering, strong Python, distributed frameworks such as Spark, Airflow, or Flink, hands-on feature-store experience (Feast, Tecton, Databricks, or similar), and streaming platforms like Kafka, Kinesis, or Flink.

Summary

A senior director leading an org that designs, builds, and operates OCI Networking's control and management services at cloud scale, as OCI rearchitects its virtual-network control plane. Requires a proven record building and operating large-scale distributed systems and growing teams. US remote; no clearance. Stated hiring range $193,600 to $414,400, eligible for bonus and equity.

Summary

Backend and distributed-systems engineering on an OCI control-plane storage service, a strongly consistent, highly available transactional key-value store used to persist critical control-plane metadata. Work centers on read/write scalability, strict serializability, multi-version concurrency control, data-plane architecture, and operational automation for a tier-0 platform. It involves building and operating storage infrastructure at cloud scale across OCI regions.

Summary

Engineering on the Microsoft Defender for Endpoint team, building core protection, detection, and response capabilities that safeguard millions of devices, with work spanning reputation systems, heuristics, and automated incident response. Collaboration with Microsoft Research and cross-functional groups is central, including AI-powered threat response and cross-platform security. Hiring at both Software Engineer II and Senior levels.

Summary

A growth-engineering role in Microsoft's CoreAI organization (the team behind GitHub Copilot and VS Code), building growth experiments, A/B testing frameworks, and telemetry-driven tooling across acquisition, activation, engagement, and retention for AI developer products. It sits at the intersection of engineering, product, and data, emphasizing experimentation velocity and measurable business impact rather than feature building alone.

Summary

A principal software engineer role in Microsoft's CoreAI organization building AI-first growth and experimentation systems (instrumentation, experimentation, feature flighting, rollout automation) that scale across products like GitHub Copilot and VS Code. It is a hands-on systems-and-platform role that also sets technical strategy and raises the experimentation-quality bar across teams. Requires a CS degree and 8-plus years of engineering experience.

Summary

Despite the generic title, this is an AI engineering role on Tableau's Analytics Agent team, building agentic, multi-modal products that let customers query and act on data through AI. The work centers on designing scalable, low-latency agentic systems — context engineering, LLM-based experiences, streaming, caching, and evaluation of model quality — and calls for 10+ years of enterprise engineering experience with strong Python or Java and distributed-systems skills.

Summary

Firmware engineering role developing datacenter platform firmware - prototype BIOS/UEFI for x86 and ARM platforms plus BMC firmware - working across product, infrastructure, security, and platform teams. Deeply hands-on, senior staff level (IC5).

Summary

Technical-leadership role in OCI's Technical Strategy and Oversight org building a from-scratch key-value store that supports billions of keys and millions of requests per second at sub-millisecond latency, as a canonical data-plane component for core cloud services. Drives architecture and hands-on development of low-level, high-performance distributed systems.

Summary

Distributed-systems engineering on an OCI foundational control-plane storage service, a strongly consistent, highly available transactional key-value store for control-plane metadata. Focus areas include scalable data-plane design, strict serializability, multi-version concurrency control, performance isolation, and operational automation for a tier-0 platform. It also involves driving architecture and mentoring engineers on storage and database infrastructure.

Summary

A senior engineering role on the Microsoft Discovery team, building an AI-driven platform that uses AI agents and high-performance computing to accelerate scientific R&D across fields like chemistry, materials, energy, and pharmaceuticals. The work is ground-up design of scalable distributed systems in a startup-like environment inside Microsoft. Requires a Bachelor's plus 4-plus years of experience and the ability to pass Microsoft cloud security screening.

Summary

Cloud security engineering on the Microsoft Defender team, building highly scalable services that protect millions of machines, specifically delivering protection within U.S. government environments. The role includes an on-call rotation of roughly 24/7 for one week every six to eight weeks worked from inside a secure facility. Critically, it requires an active U.S. Government Top Secret clearance with SCI access based on a Single Scope Background Investigation with Polygraph.

Summary

An engineering manager leading T-Mobile's Marketing Technology team, responsible for the data and infrastructure behind marketing: web analytics, pixel and tracking creation, media reporting, and CRM and media-platform integrations. The role manages a team of engineers and analysts and partners with Marketing, Media, and Data Science, so it blends people leadership with MarTech domain expertise rather than hands-on coding. It requires a bachelor's plus 5 years of experience, or an advanced degree plus 3.

Summary

An engineering-management role leading a team of 12-plus individual contributors on Microsoft's Azure Data Fabric Platform team, the group that builds the unified data stack behind Microsoft Fabric. The work is people leadership plus technical direction — coaching engineers, setting priorities, and keeping high-scale cloud services running reliably across regions rather than hands-on coding. Requires a Bachelor's in computer science or a related field and 6-plus years of technical engineering experience.

Summary

Despite the engineering title, this is a cloud-compliance and IT-audit role inside Salesforce's Product Security organization, not a coding job. The analyst serves as a subject-matter expert for internal and external audits — leading assessor walkthroughs and validating controls against ISO 27001 and SOC 1/2 — while partnering with engineering to turn regulatory mandates into actionable controls and to automate evidence collection. Requires roughly 4+ years in IT audit or internal controls with a cloud and SaaS focus.

Summary

A cybersecurity detection-engineering role — not conventional product software — on the team that spots attacks against Salesforce's infrastructure, products, employees, and customers. Day to day means writing and tuning detection logic on security platforms using query languages such as SPL and YARAL, building attack-simulation scenarios to test that logic, and working with CSIRT and incident response to cut false positives. Expects 6-8 years in threat detection, threat hunting, or incident response, with working knowledge of SIEM tooling and the MITRE ATT&CK framework.

Summary

A people-management position leading a full-stack engineering team that owns Expedia's Incentives platform, the system that delivers travel offers and perks tied to the loyalty program. The focus is hiring and growing engineers, owning delivery and roadmap for loyalty services, and partnering with product, marketing, and business rather than hands-on coding.

Summary

Another instance of the principal software developer role -- backend services, APIs, and server-side systems for OCI, 7+ years with distributed-systems and microservices expertise in Java/C++/C#/Go. Office-based onsite (Nashville, Austin, Santa Clara, Seattle, or Redwood Shores) despite the remote flag; no clearance. Stated range $114,600 to $234,600.

Summary

The same principal software developer role -- backend/API/server-side systems for OCI distributed cloud platforms, 7+ years and strong distributed-systems fundamentals in Java/C++/C#/Go. Office-based onsite (Nashville, Austin, Santa Clara, Seattle, or Redwood Shores) despite the remote flag; no clearance. Stated range $114,600 to $234,600.

Summary

The same senior software developer role -- backend services, APIs, and microservices for OCI distributed cloud systems in Java/OO languages, 4+ years. Office-based onsite (Nashville, Austin, Santa Clara, Seattle, or Redwood Shores) despite the remote flag; no clearance. Stated range $89,200 to $209,500.

Summary

A senior software developer (4+ years) on OCI's Software Engineering team building backend services, REST APIs, and microservices for distributed cloud systems in Java or another OO language. This position is office-based, requiring onsite presence (Nashville, Austin, Santa Clara, Seattle, or Redwood Shores) despite the remote flag; no clearance. Stated range $89,200 to $209,500.

Summary

Engineering role in Commercial Engineering & AI's Marketing Growth Engineering team, building large-scale automation that streamlines Microsoft's internal marketing planning operations and uses AI to cut manual effort. The focus is modernizing how internal marketing teams plan and align to business objectives. Open at both Software Engineer and Senior levels.

Summary

A software engineering role (filled at Software Engineer II or Senior level) on Microsoft's AI Frameworks team, building the low-level software that runs AI models everywhere — from supercomputers to phones, IoT, and browsers. The work centers on ONNX, ONNX Runtime, and Foundry Local, the inference and training accelerators that power AI across major Microsoft products, using C, C++, C#, and Python. Requires a CS degree plus two-plus years of coding experience; hybrid (three days/week in office) unless more than 50 miles from a hub.

Summary

Software engineering leading design and development of the Windows Ads SDK, building high-performance advertising SDK components and platform capabilities. Includes building CI/CD pipelines, test infrastructure, and automation for reliable, frequent releases, plus telemetry-driven feature rollouts. Emphasis on performance, reliability, security, privacy, and accessibility.

Summary

A distributed-systems engineering role on the Microservices Platform Service Mesh team, building the ingress gateway and load-balancing platform that fronts all customer traffic entering Salesforce — handling L4/L7 load balancing, TLS termination, end-to-end encryption, and traffic policies such as blue/green deployments and access control. The work is deep in cloud-native networking internals built on open-source Envoy for the data plane and Istio for the control plane, including contributing changes back upstream.

Summary

A lead principal (IC5) platform software engineer on OCI's Networking Data Plane team, rearchitecting OCI's routing foundation and building large-scale distributed systems for routing, workload placement, and fleet management. Deep networking/routing knowledge required. US remote; no clearance. Stated hiring range $96,800 to $306,400, eligible for bonus and equity.

Summary

A principal software engineer role on the Copilot Studio Knowledge team, building generative-AI features that formulate answers grounded in customer-configured data, defining architecture, generating high-quality code, and mentoring engineers. Requires 6+ years of engineering experience plus experience using AI tools to build code, building enterprise web services, and integrating cloud components.

Summary

Despite the generic software title, this is a machine-learning engineering role: mining large-scale telemetry and building models that predict failures of T-Mobile network assets such as radios, field-replaceable units, and basebands. It involves developing new algorithms and neural-network models, operationalizing them in production, and building analytical systems in F#, while advising the data-science and measurement-science teams as a subject-matter expert. The position is based at the Bellevue, WA headquarters but permits 100% telecommuting.

Summary

A principal data architect building T-Mobile's government-pursuit intelligence platform, integrating outside sources like GovWin IQ, SAM.gov, Salesforce, and D&B into an AI-assisted system that produces Go/No-Go scores and account prioritization for a business-development (Pursuit and Capture) program. The work centers on ETL/ELT pipelines, cloud data platforms, and an account scoring and tiering engine, plus technical leadership through code reviews and standards. It is a hybrid role requiring at least 3 days a week in an office (Bellevue WA, Overland Park KS, Frisco TX, Herndon VA, or Washington DC) with no remote option.

Summary

This is Salesforce Data Platform Services' most senior individual-contributor role — a Distinguished Engineer setting the technical strategy for the internal platform that ingests, governs, and serves data to AI products like Agentforce. Responsibilities span data-as-a-product standards, automated data contracts, versioned schemas, reliability SLOs, and making data consumable by AI agents and LLM pipelines, working across many engineering teams rather than a single codebase and reporting to the VP of Data Platform Services.

Summary

A specialized application-security role owning the security posture of Salesforce's mobile app portfolio and SDKs across iOS and Android — from the flagship app to Tableau Mobile, Field Service, and Trailhead. Day-to-day work includes manual and automated mobile assessments (binary reverse engineering, dynamic instrumentation, and review of OAuth/PKCE and certificate-pinning flows), running the mobile scanning platform and CI/CD integration, secure code review across Swift, Kotlin, Java, and React Native, and threat modeling; it asks for 2+ years in application or mobile security.

Summary

An AI-focused engineering role inside Expedia's Fraud and Risk organization, designing real-time systems that detect and remediate fraud and abuse across the travel booking journey. The emphasis is on integrating generative and agentic AI into fraud-detection workflows and owning the architecture of cloud-native decisioning and remediation systems.

Summary

Software engineering role on OCI's PKI team designing, developing, and operating cloud-scale Public Key Infrastructure services that manage certificates, cryptographic keys, and trust infrastructure across OCI. Centers on distributed systems, applied cryptography, and cloud security, working closely with security and partner service teams.

Summary

Engineering management role leading a team of software engineers with strong SRE backgrounds who build and operate Oracle's source-control platform. Owns delivery across platform components, service reliability, API health, observability, automation, and upgrade safety, and turns production pain points into durable platform improvements.

Summary

Leads design and development of OCI's next-generation artifact management platform that supports build, deployment, and security-patching workflows across internal service teams. Involves deep distributed-systems work, large-scale migration off legacy artifact systems, and close collaboration with CI/CD and service teams.

Summary

Builds and operates the GitHub Enterprise platform, owning platform components, APIs, and service contracts for multi-tenant use and writing production-quality code. Combines software development with strong SRE practices such as automation, observability, and resilience patterns; explicitly framed as a hands-on development role rather than pure operations.

Summary

A principal application software engineer at Oracle owning the full application-development lifecycle -- feature design, code reviews across application areas, API/integration troubleshooting, and secure-coding coaching for less-experienced engineers. US remote; no clearance. Stated hiring range $99,600 to $209,500, eligible for bonus and equity.

Summary

Owns moderately complex components within OCI platform services and SDKs, leading improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of distributed services and implements targeted resilience and capacity optimizations that protect downstream consumers and upgrade paths.

Summary

AI developer role on Oracle Cloud Infrastructure's Networking team, building AI/ML applications that automate, optimize, and secure networks such as self-provisioning, auto-ingesting, auto-qualifying, and self-healing systems. Requires Python, ML frameworks, model training, and knowledge of networking protocols, data-center design, and network automation.

Summary

Software engineering on Microsoft's high-scale online Experimentation Platform in CoreAI, owning and driving development of critical components that let engineers and scientists run rigorous experiments on AI systems. Emphasis on distributed systems, architecture, scalability, and service reliability. Includes rotational on-call live-site ownership.

Summary

Software engineering on Microsoft's high-scale online Experimentation Platform within CoreAI, building and maintaining services that let teams evaluate and safely deploy AI features. Emphasis on distributed systems, service reliability, and experimentation methodology. Includes participation in on-call rotations for live-site support.

Summary

Software engineering customizing and extending Dynamics 365 CRM for Microsoft Advertising's sales, marketing, and case-management workflows. Work includes integrating CRM with ads systems and Power BI reporting and adding AI-driven automation features. Emphasis on data integrity, privacy compliance, and security; in-office expectation of four days per week.

Summary

Feature and services engineering on the Microsoft Advertising Platform team, building the large-scale, highly distributed systems (hundreds of terabytes of data) that power advertiser and retailer marketing programs. Includes architectural work on scalable services plus mentoring, and expects 4+ years of coding experience. Requires passing a Microsoft Cloud background check on hire and every two years.

Summary

Platform software engineering focused on evolving middleware patterns and runtimes to standardize interoperability across services at scale. It spans the full development lifecycle: designing solutions, leading code reviews, debugging complex issues, API versioning and interoperability, and implementing testing, observability, and performance optimization. The role also contributes to software architecture standards and coaches less-experienced developers.

Summary

Applied ML/AI science and engineering role building an AI-powered digital twin and agent crew to enable autonomous, safe OCI network operations. Leads research programs and designs, trains, and optimizes ML/AI models, then guides teams to deploy them into production. Includes publishing and presenting research findings.

Summary

Leadership role running the software organization that builds and operates OCI's large AI and GPU cluster systems, including provisioning, repair, monitoring, maintenance, configuration, and validation. It emphasizes low-level systems, drivers, and firmware management for GPUs and high-speed backend NICs, delivered at high speed, scale, and reliability. It calls for a hands-on systems specialist able to architect broad systems interactions.

Summary

A senior network-hardware developer role at a cloud-infrastructure company's Network Products Engineering team, designing and deploying physical network platforms — switches, routers, and optical gear — and engaging directly with hardware manufacturers. The work centers on hardware specifications and design requirements rather than conventional software development, so the software classification is borderline. Nashville-routed, posted $91K–$187K.

Summary

AI developer role on Oracle Cloud Infrastructure's Networking team, building AI/ML applications to automate, optimize, and secure networks (self-provisioning, auto-qualifying, self-healing). Requires Python, ML frameworks, model training, and understanding of networking protocols, data-center design, and network automation.

Summary

Leads work analyzing and optimizing model architectures and the full AI model lifecycle across training, fine-tuning, and serving, including onboarding frontier models and ensuring reliable production deployments. Contributes to open-source inference frameworks such as vLLM and SGLang and guides a team delivering the roadmap.

Summary

Builds foundational throttling and control-plane platform in OCI's SPLAT org, used by multiple services for API traffic management, distributed throttling, and safe-change enforcement. Designs, develops, and debugs high-scale distributed platform software that lets OCI services scale and operate reliably.

Summary

An AI-native software engineering role on Oracle Cloud Infrastructure where AI-assisted development, coding agents, and automation-first workflows are the default mode of building rather than traditional manual coding. The focus is building intelligent internal platforms, operational tooling, and cloud-native services, with deep integration of LLMs and agentic workflows into daily development. Success is measured by leveraging AI to accelerate delivery, not only by code written.

Summary

Software engineering leadership for OCI's Key Management Service, a cryptographic service providing secure key lifecycle management for Oracle's cloud and its customers. Work spans all layers of the KMS stack, from cryptographic hardware integration to distributed-systems architecture and operational excellence in high-availability production. It emphasizes security, scalability, availability, and compliance.

Summary

Engineering management role building Azure security services for sovereign and government clouds, leading a team on technical delivery and career development. Focus on securing Azure services across cloud environments with a customer and partner orientation. Requires an active U.S. Government Top Secret security clearance.

Summary

Internal developer-productivity engineering for the Edge browser, on the Edge Engineering System team that builds the CI/CD pipelines and AI-first workflows the Edge dev org relies on. This is tooling and release automation rather than shipping browser features to end users. Note the Microsoft AI office expectation of at least four days per week for those within commuting distance, effective January 2026.

Summary

Engineering on the Microsoft AI Bing Places Data team, extracting and enriching location, places, and point-of-interest data from hundreds of millions of entities to feed Copilot and Bing Search experiences. The work mixes large-scale data analytics, map-reduce compute, and LLM and ML techniques with data and service engineering. Starting January 2026, staff within a 50-mile commute of a U.S. office are expected onsite at least four days a week.

Summary

An enterprise systems architect focused on end-to-end solution design rather than hands-on coding, connecting business strategy to technology domains across T-Mobile's product and infrastructure landscape. Responsibilities include setting architectural guardrails and standards, producing roadmaps, architecture diagrams, and executive white papers, and mentoring teams. The emphasis is on high-level strategy, governance, and cross-domain solution ownership.

Summary

A software-architect role on Salesforce's internal Cloud Economics and Capacity Management (FinOps) team, designing the distributed systems that monitor cloud and AI cost and capacity in near real time to forecast spend and optimize resource allocation. It combines large-scale data-platform architecture with machine learning applied to petabytes of infrastructure telemetry, and engineers work directly with internal stakeholders to gather requirements. Leadership-leaning, with responsibility for setting technical standards and mentoring engineers and data scientists.

Summary

A senior software-developer role at a cloud-infrastructure company building the OCI Monitoring and Logging observability platform at massive scale, used by both internal cloud services and external customers. The work tackles hard distributed-systems problems — high-throughput telemetry ingestion, large-scale data processing, cost-efficient storage, and low-latency query — for a cloud-native, multi-tenant platform. Nashville-routed, posted $135K–$306K.

Summary

Platform software engineering building Oracle Cloud Infrastructure's observability platform (Monitoring and Logging) used by both internal OCI services and external customers. Tackles distributed-systems challenges such as high-throughput telemetry ingestion, large-scale data processing, cost-efficient storage, and low-latency query execution. Operates at massive, multi-tenant scale.

Summary

A senior cloud infrastructure and operations role at the Providence health system, focused on Microsoft Azure rather than application development. The work covers Azure IaaS and PaaS design and administration, networking components like VNets and ExpressRoute, Azure Policy, Terraform-based infrastructure as code, and VMware/Hyper-V servers, in an environment subject to healthcare PHI/PII compliance. It is a hybrid position that requires supporting an on-call rotation and is open only to candidates residing in listed states such as Alaska, Washington, Montana, Oregon, and California.

Summary

Principal software engineering on Microsoft's Ads Data Platform, designing and operating high-scale systems that ingest and enrich over half a trillion ad-serving events per day. Work spans near-real-time and offline data pipelines feeding analytics, ML, and reporting. Includes on-call live-service ownership; the role is Redmond-based with an in-office expectation of four days per week.

Summary

Backend and ML engineering on Microsoft AI Search Places, the geospatial group whose location services power Bing, Copilot, Ads, Office, Windows, Teams, and the third-party Azure Maps APIs. Work centers on high-volume location search and suggestion problems, applying distributed computing and experimenting with LLMs. Requires C# and .NET experience, and staff within a 50-mile commute of a U.S. office are expected onsite four days a week starting January 2026.

Summary

Senior software engineering on the Auction Logic team of Microsoft's Monetize advertising platform, building the distributed real-time systems that run an auction for every ad impression under sub-100-millisecond constraints. Work involves optimizing large-scale, high-QPS services for performance and algorithmic efficiency and acting as architect for the real-time platform. Operates at massive scale (millions of QPS, 100-plus billion requests per day).

Summary

A player-coach management role leading the Enablement Engineering team within Salesforce's Technology, People, Innovation & Learning group, driving AI adoption across the engineering organization. It blends people leadership (hiring, coaching, workload planning) with hands-on technical training — personally designing and facilitating live and virtual enablement sessions for engineers — and requires both real software engineering experience (coding in Python, JavaScript, or Java) and strong presentation skills in front of technical audiences.

Summary

Distributed-systems engineering on OCI's observability platform, building logging and monitoring services that ingest and query data at massive scale for both internal cloud services and external customers. Challenges include high-throughput log ingestion, large-scale data processing, cost-efficient storage, low-latency query execution, and multi-tenant reliability. The broader platform also spans auditing, SIEM, and events.

Summary

A principal software engineering role leading design and development of Teams Phone services for air-gapped and sovereign cloud environments with strict security and compliance requirements. The role requires meeting U.S. government security clearance screening and participating in an on-call rotation (typically 24/7 for one week every 6-8 weeks) performed inside a secure facility.

Summary

Software engineering building Microsoft's agentic AI support platform, owning features end to end across orchestration, grounding, evaluations, observability, and SDK surfaces. Focus on reliable, autonomous AI-driven support workflows with live-site operations, incident response, and Responsible AI compliance. Uses frameworks such as Azure AI Foundry and Copilot Studio.

Summary

A senior engineering role on a newly forming Microsoft Security team building agentic and software-security products, including Microsoft MDASH. The core problem is connecting running applications back to the source code behind their vulnerabilities — bridging the gap between production runtime and developer code, with deep integration into GitHub, Visual Studio, and Azure. The work is scalable backend services and data platforms for security scenarios.

Summary

Engineering roles on a newly forming Microsoft Defender team building MDASH and related software-supply-chain security systems that connect source code to runtime behavior. The work involves analyzing dependencies, vulnerabilities, and malware across open-source ecosystems (npm, PyPI, NuGet, Maven, Cargo) with static, dynamic, and sandboxing program-analysis techniques, and operating large-scale Azure scanning pipelines using supply-chain integrity practices such as SBOM, SLSA, and Sigstore.

Summary

A hands-on lead machine-learning role embedded in Salesforce's security organization (the Trust Intelligence Platform), building scalable ML pipelines and threat-detection models rather than general product ML. The work applies probabilistic modeling, graph analytics, and supervised and unsupervised learning to surface sophisticated threats — system intrusions, lateral movement, beaconing, and insider attacks — while mentoring scientists and building shared feature stores and tooling, and it requires a strong grounding in cybersecurity problems.

Summary

Builds distributed, performance-optimized backend services for Microsoft Shopping, the AI- and LLM-powered shopping companion surfaced across Bing, MSN, and Edge. Focus areas include platform scalability, data modeling, and workflow automation. Starting January 2026, staff within a 50-mile commute of a U.S. office are expected onsite at least four days a week.

Summary

A backend engineering role, open across senior, lead, and principal levels, on Salesforce's Agentforce Operations supply-chain automation platform. Candidates join one of two teams: the Super Agent team hardening a complex, highly configurable stateful backend — decomposing coupled domains, stabilizing state transitions, and building observability — or the Integration and Platform team owning the data backbone that connects to Mulesoft, Flow, and Data Cloud and powers customer data synchronization. Emphasis is on scaling distributed backends as customer adoption grows.

Summary

Technical-leadership role on Azure's Key Management team, shaping architecture and hands-on implementation for cloud-scale key services — Azure Key Vault Keys and single-tenant Hardware Security Module offerings including Managed, Cloud, Payment, and BareMetal HSM. A distinctive focus is supporting post-quantum cryptography to move these regulated, mission-critical services toward quantum-safe security.

Summary

A hands-on forward-deployed engineering role on Salesforce's Public Sector Missionforce team, embedding with U.S. Department of Defense, Intelligence Community, and aerospace and allied-nation customers to design and build bespoke solutions on the Agentforce platform. The engineer personally writes code, configures systems, and architects LLM-based intelligent agents and automated workflows in both classified and unclassified environments, while also mentoring junior team members and relaying field feedback to Salesforce engineering. Offered at senior and lead levels.

Summary

A senior/lead engineering role building AI agents for supply-chain automation inside a recently acquired startup-within-Salesforce that is still run by its original founders. The work is developing agents that plan and execute complex multi-step supply-chain tasks reliably, along with the distributed backend systems to serve them at scale with 24/7 availability. Framed as an early-stage, high-autonomy 0-to-1 product build backed by Salesforce's Data Cloud and infrastructure.

Summary

A general backend engineering posting that routes a single application to multiple Salesforce hiring teams across its various Clouds (Marketing, Commerce, Sales, Service, Einstein, MuleSoft, Platform, Slack, Heroku, and more). The work is designing and tuning APIs and back-end features that scale in a multi-tenant cloud environment on GCP, AWS, Azure, or Alibaba, with test-driven development and CI/CD; positions are open at mid, senior, lead, and principal levels.

Summary

Principal engineer on OCI's Strategic Customers Engineering team, aligning technical details across service teams and driving end-to-end execution of complex projects while optimizing cloud infrastructure for performance, reliability, and cost. Requires strong Linux internals, internetworking, and automation (Ansible, Terraform, Kubernetes) plus development experience in Java/C++/C#.

Summary

A principal software engineering manager role leading a team working on Windows client, Windows Update, and Windows reliability. The position combines people leadership with technical direction, coordinating team response to live-site issues, incidents, and customer escalations, and using telemetry and diagnostics to improve product quality and reliability at scale.

Summary

A senior/lead full-stack engineering role on the next-generation Tableau (Tableau Next), building the data-visualization and agentic-analytics front end. The work centers on architecting reusable visualization components and optimizing large-scale rendering with Canvas and WebGL — filtering, animations, and real-time updates — in close collaboration with UX and backend teams. Best suited to someone strong in graphics and rendering performance for interactive data visualization.

Summary

Builds software to scale Oracle's server qualification process, aiming to raise throughput and yields and standardize how new server SKUs and suppliers are qualified for AI infrastructure. User-focused, full-stack development role working closely with designers, engineers, and product managers.

Summary

Front-line engineering management role leading an AI Data Plane team that builds a highly available, large-scale cloud service for GPU AI infrastructure. It combines hands-on technical management and on-call experience with team leadership for GPU delivery, health monitoring, and triage automation systems. The role involves coordination with network and data center operations.

Summary

A security-engineering role on Salesforce's Enterprise Security Secure AI team, responsible for assessing and hardening the AI tooling and agentic platforms the company adopts internally — running architecture and design reviews, code reviews, penetration tests, and threat modeling, and setting the security standards for deploying AI at scale. It calls for 5+ years in a security role for the Senior level or 8+ years for Lead, plus experience with large language models and agentic systems.

Summary

A senior-principal individual-contributor engineer role (IC5) on a cloud-infrastructure company's DevOps team, building customer-facing, enterprise-grade CI/CD capabilities from the ground up. It suits an engineer passionate about distributed systems and cloud infrastructure, working on secure, high-performance cloud-scale services. Nashville-routed, posted $135K–$306K.

Summary

Native systems-software role building the on-device Microsoft Defender for Endpoint agent for macOS, which runs close to the OS via system extensions and the Endpoint Security Framework to monitor processes, files, and events and turn them into security signals. The emphasis is fast, reliable native code that performs across diverse macOS versions and large enterprise fleets without degrading device performance. Openings exist at both Software Engineer II and Senior levels.

Summary

A senior lead-engineer (LMTS) position architecting and delivering highly scalable enterprise software, leading code reviews and coding standards, and translating product requirements into technical designs across distributed teams. The posting is broadly scoped rather than tied to a specific product, calling for roughly 10+ years of experience with object-oriented languages such as Java, JavaScript, C++, C#, Ruby, or Python, a web framework like Node/Express, and solid SQL and automated-testing background. This is a hands-on technical-leadership IC role focused on standards and cross-team delivery.

Summary

Engineering-operations leadership role owning the systems, processes, governance, incident management, and operational readiness frameworks that support engineering teams serving OCI's largest strategic customers. It sits at the intersection of engineering, operations, executive stakeholder management, and customer success, building scalable operational mechanisms for reliability and execution. The ideal background is leading SRE, DevOps, production operations, or infrastructure operations teams in hyperscale environments.

Summary

Senior Staff-level, hands-on technical leadership role defining, building, and operating production agentic AI platforms and scalable inference infrastructure on Oracle Cloud Infrastructure. Combines deep distributed-systems experience with AI-native engineering such as LLM orchestration, tools, memory, retrieval, evaluation, and guardrails, and requires leading multi-team execution without direct authority.

Summary

Principal-level, hands-on technical leadership role setting architecture and engineering direction for production agentic AI platforms, autonomous workflows, and inference infrastructure on Oracle Cloud Infrastructure. Pairs distributed-systems depth with practical AI-native engineering (LLM orchestration, retrieval, evaluation, guardrails) while remaining deeply involved in design, code, reviews, and operations.

Summary

Develops Ksplice, the live kernel-patching technology that patches the Linux kernel with zero downtime, building tooling in Python and bash and analyzing security vulnerabilities in Linux kernel patches. Systems-engineering role working across all levels of the Linux stack to support new releases and improve the patching workflow.

Summary

Deep Linux generalist role owning RPM package development and maintenance, including creating new RPMs, applying patches, and fixing bugs, plus generating and testing Linux images and validating their behavior across cloud platforms. Requires hands-on expertise across Linux userspace, boot processes, and systemd initialization.

Summary

Builds the high-performance communication infrastructure powering large-scale AI and HPC workloads, developing RDMA-based software, collective communication libraries, networking services, and congestion management for large GPU clusters. Hands-on systems-programming role focused on distributed communication performance, scalability, and reliability.

Summary

Technical-leadership role defining and building next-generation AI networking infrastructure for large-scale GPU clusters and distributed AI training, spanning RDMA-based services, collective communication libraries, congestion management, and resiliency. Influences architecture across multiple teams, mentors senior engineers, and shapes the AI networking platform roadmap.

Summary

Technical-leadership role defining and building next-generation AI networking infrastructure for large-scale GPU clusters and distributed AI training, spanning RDMA-based services, collective communication libraries, congestion management, and resiliency. Influences architecture across multiple teams, mentors senior engineers, and shapes the AI networking platform roadmap.

Summary

Hands-on technical-leadership role designing and building OCI's storage infrastructure services within a secure, distributed, multi-tenant IaaS, writing and reviewing code and building test automation. Strong C/C++ distributed-systems work, with RDMA/high-performance networking and AI/ML framework familiarity noted as pluses.

Summary

Lead engineering role on OCI's Block Storage data-plane team owning software design and development for core components on the I/O path of the Block Storage Service, a large-scale distributed storage platform operating across 60-plus regions. Distributed-systems generalist work in C++ and Python with CI/CD, plus technical leadership and mentoring.

Summary

Applies formal specification and verification methods, including model-checkers, constraint solvers, and machine-checked proofs, to find subtle bugs such as data loss, corruption, and security vulnerabilities in complex mission-critical systems. Also develops new methodologies and tooling to safely use generative AI for specifying, implementing, and verifying software.

Summary

Technical-leadership role in OCI's Technical Strategy and Oversight org building a from-scratch key-value store that supports billions of keys and millions of requests per second at sub-millisecond latency, as a canonical data-plane component for core cloud services. Drives architecture and hands-on development of low-level, high-performance distributed systems.

Summary

Technical leader in OCI's Technical Strategy and Oversight org building a from-scratch key-value store supporting billions of keys and millions of requests per second at sub-millisecond latency, drawing on experience with object storage, file systems, and key-value stores. Drives architecture and hands-on development of low-level, high-performance data planes.

Summary

Technical-leadership role in OCI's Technical Strategy and Oversight org building a database validation framework that ensures the reliability of an internal key-value metadata store underpinning OCI control-plane services. Defines the validation strategy and develops scalable validation frameworks for critical tier-0 database infrastructure.

Summary

A DevOps and distributed-systems role on the Surface Devices team, owning the automated CI/CD pipelines that build, validate, and deploy secure Windows OEM factory images across all Surface products. It sits at the hardware-manufacturing intersection and requires familiarity with OEM imaging (driver injection, provisioning packages, OOBE) plus Azure DevOps or GitHub Actions, with Azure AI used for log analysis and anomaly detection. Titled Senior Software Engineer but functionally a Senior Development/infrastructure engineer.

Summary

A full-stack senior or principal engineering role on Microsoft's Commercial Sales Experiences team, building AI-infused internal applications and agentic solutions that support Microsoft's sellers. The stack centers on Azure, React, Dataverse, Dynamics 365, and Power Platform, and the role owns the end-to-end lifecycle from requirements and architecture through database design, development, and deployment. Oriented toward enterprise business applications rather than infrastructure.

Summary

Individual-contributor engineering leadership for Oracle Kubernetes Engine, OCI's managed Kubernetes service, building cloud-scale cluster lifecycle management, orchestration, autoscaling, networking, and storage. It requires deep Kubernetes internals expertise (control plane, controllers and operators, scheduling, CNI/CSI, etcd) and a distributed-systems background, with growing focus on AI and GPU workloads. The role also expects responsible use of AI-assisted and agentic engineering workflows.

Summary

Builds and operates the OCI Load Balancer service, a massive-scale, multi-tenant cloud offering, solving high-availability and scalability problems in service-oriented architectures. Distributed-systems generalist role turning requirements into production-quality solutions from the ground up.

Summary

Senior engineering role in Commercial Engineering & AI's Scale and Partner AI Experiences group, building the agentic sales platform used daily by field sellers and partner teams and owning orchestration, grounding, evals, observability, model routing, and SDK surfaces end to end. The team explicitly wants someone who already builds with Claude Code, Codex, MCP, or open-source agent stacks and tracks the frontier closely. Requires a CS degree plus 4+ years of engineering experience across languages like C#, TypeScript, and Python.

Summary

Engineering on Microsoft's Ad SDK team, designing and optimizing software development kits that let partner apps integrate and monetize advertising at scale. The work is browser-focused and hands-on with JavaScript and TypeScript, and expects real understanding of browser internals such as rendering pipelines and performance tuning. Includes designated on-call (DRI) responsibility, and the four-days-per-week Microsoft AI office expectation applies.

Summary

Hands-on ML/AI software engineering leadership role defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure. Sets architecture for production agentic AI platforms, autonomous workflows, and scalable inference infrastructure, orchestrating LLMs, tools, APIs, memory, retrieval, evaluation, and guardrails. Remains deeply hands-on in design, code, reviews, and operations.

Summary

Distributed-systems software engineering for OCI's GPU-based AI infrastructure, building systems for GPU delivery, health monitoring, triage automation, and diagnostics across clusters of thousands of GPUs. Work involves low-level systems troubleshooting and high-performance networking such as RoCE and InfiniBand, operating large-scale production systems. It requires deep understanding of operating systems, networks, and high-performance applications.

Summary

Leads design and development of a VPN service within OCI's Customer Cloud Connectivity networking platform. Described as a mesh of systems engineering, automation engineering, and network operations, building high-availability, scaled-out infrastructure services deployed globally.

Summary

Architect role on Microsoft's Identity and Network Access team, setting the technical direction for the authorization platform that secures over a billion monthly active users across Windows, Office, Azure, and Xbox. The core engineering challenges are extreme scale and low latency — millions of requests per minute completing under 10ms — along with role- and attribute-based authorization models that push toward least standing privilege.

Summary

A senior architect role on Salesforce's Agentforce platform, defining how enterprise AI agents are built, deployed, and scaled — inventing execution models, agent orchestration frameworks, and stateful runtime architectures. The position is deliberately split between hands-on building (code, runtimes) and communication (design docs, engineering blog posts, and executive and customer presentations), and calls for 10+ years in software engineering plus depth in distributed systems and LLM-based agent architectures, with fluency in Python and Java.

Summary

Senior backend engineering in Expedia's Distribution and Supply organization, building the pricing and marketplace infrastructure that serves deals to travelers and reach to partners across hotels, flights, cars, and packages. The core challenge is designing highly available, low-latency distributed systems that handle very high volumes of pricing requests.

Summary

Low-level systems software engineering building OCI's virtual networking data plane on programmable SmartNICs and DPUs. Work involves systems programming close to the hardware, Linux internals, packet processing, and high-performance network programming, with debugging across OS, driver, firmware, and hardware boundaries. It centers on performance-critical, hardware-adjacent software for cloud networking.

Summary

Individual-contributor technical lead on Microsoft Research's Americas engineering team, turning research prototypes into production-quality tools, services, and product features. Work spans product experiences, APIs, data pipelines, model-integration layers, and cloud infrastructure, plus mentoring engineers and shaping AI-driven engineering practices. Deep expertise in how models work is welcomed but explicitly not required.

Summary

Builds microservices and automation in OCI's Host Provisioning Services that provision, configure, secure, and validate servers across the global fleet, operating at the boundary of bare-metal hardware (BMCs, NICs, SmartNICs, GPUs, firmware) and orchestration. Delivers fleet-wide firmware updates, telemetry-based observability, and support for new silicon at hyperscale.

Summary

Building GitHub's terminal-based coding agent and the shared agent loop that powers agentic experiences across GitHub and Microsoft CoreAI. The work sits at the intersection of agentic AI systems (tool design, agent loops, benchmarking) and high-performance terminal UIs, with strong end-to-end product ownership expected. Posted at flexible level (Senior or Principal Software Engineer), requiring 4+ years of coding experience.

Summary

Backend services engineering on the M365 Security team, building and running the access-control systems that manage secure, compliant access to Microsoft's cloud infrastructure for deployment and troubleshooting. The work centers on authentication, authorization, and secret management rather than customer-facing features, with standard CI/CD, testing, and on-call ownership. Requires 4+ years of coding experience and the ability to pass Microsoft/government security screening.

Summary

Senior technical anchor for AEGIS, the security and privacy backbone of Microsoft 365's real-time communications cloud (IC3), owning multi-year security-platform architecture and design and code review across hundreds of microservices. The charter includes building AI and agentic security tooling for vulnerability detection, posture assessment, triage, and remediation, plus codifying Secure Future Initiative controls and quality gates. Redmond-based hybrid at three days per week in office, with relocation assistance available.

Summary

Engineering management role leading a team that builds solutions to scale and optimize AI compute infrastructure components such as the GPU control plane and GPU data plane. It manages engineers designing, developing, and debugging software for databases, applications, tools, and networks, aimed at optimizing customer AI workload performance. The role includes setting team goals and individual expectations.

Summary

A DevOps and site-reliability role keeping Salesforce's Government Cloud infrastructure available, secure, and compliant — solving infrastructure problems with reusable code, building compute capacity, and running Kubernetes deployments at scale through automated CI/CD pipelines. The position carries strict eligibility rules: candidates must be U.S. citizens working on U.S. soil and able to pass a Criminal Justice Information Services screening with fingerprinting, with citizenship verified through REAL ID Act documents. Offered at mid and senior levels.

Summary

Full-stack and backend engineering in Commercial Engineering & AI, designing distributed microservices on Azure (AKS, Functions, Service Bus, Cosmos DB, Azure SQL) that power catalog, search, purchase, fulfillment, metering, and billing. The role includes integrating AI capabilities via Azure OpenAI or Semantic Kernel, owning features end to end, mentoring junior engineers, and an on-call rotation for live-site incidents. Open at both Software Engineer and Senior levels.

Summary

A site reliability engineer on a major cloud provider's M365 Sovereign Clouds team, building tooling and automation (including agentic workflows) to make sovereign-cloud operations faster and more reliable. Requires US government clearance (CTJ/Poly). Atlanta.

Summary

Designs and develops cloud-native services, workflow platforms, and data pipelines that power OCI's infrastructure planning, capacity forecasting, sourcing, and deployment readiness across Oracle's global data-center footprint. Systems support engineering, operations, supply chain, finance, and executive decision-making at scale.

Summary

Software engineering internship at Oracle Cloud Infrastructure offered through the Oracle Veteran Internship Program, aimed at transitioning military veterans and active-duty military spouses new to corporate work. Provides paid, hands-on job-skill training and professional development alongside corporate leadership and veteran coaches. Eligibility centers on veteran or military-spouse status.

Summary

Streaming data-engineering role defining Oracle Video @ Edge's playback quality-of-experience metrics and building the real-time telemetry pipelines behind them using Kafka, Flink, or equivalent systems. It processes large-scale playback events across devices, geographies, ISPs, and delivery paths to power real-time aggregations, anomaly detection, alerting, and live-event dashboards, and correlates playback data with relay, routing, and fallback behavior. Focused on telemetry, data correctness, and QoE-driven feedback loops rather than the player itself.

Summary

Generalist native-code software engineering in Microsoft's Applied Sciences Group, building Project Solara and ML-powered features across Windows and other Microsoft products. Work ranges from OS and platform layers to app experiences and service integrations in a fast-paced, high-ambiguity prototyping-to-product environment. Requires writing production-grade native code across varied tech stacks.

Summary

Designs and develops cloud-native services, workflow platforms, and data pipelines that power OCI's infrastructure planning, capacity forecasting, sourcing, and deployment readiness across Oracle's global data-center footprint. Systems support engineering, operations, supply chain, finance, and executive decision-making at scale.

Summary

A senior engineering role in Microsoft Business Operations building the internal platforms and services teams use to launch and manage products across the company. A defining feature is heavy, disciplined use of AI-assisted development — GitHub Copilot, agentic coding workflows, and GenAI code review and test generation — with the engineer held accountable for the quality and safety of AI-generated code. Spans the full lifecycle from design through live-site operations.

Summary

A finance-platform engineering role behind the generic software title, focused on building Oracle EPM planning solutions (Oracle EPBCS / Planning Cloud) that power enterprise financial planning and forecasting for FP&A partners. The work includes driver-based planning models, Groovy business rules, cube tuning, and integrations via Oracle Integration Cloud, and it expects the engineer to drive design decisions and translate FP&A requirements into technical solutions. It requires 5-plus years of software or EPM platform experience (Oracle or OneStream).

Summary

Owns software design and development for core components that orchestrate OCI's Storage Service, a distributed, exabyte-scale storage platform running across 60-plus regions, on the Storage Control Plane team. Java and Python distributed-systems role requiring understanding of block/object/file storage and distributed persistence technologies.

Summary

A senior individual-contributor and technical-lead role building cloud-native services on C#, .NET, and Azure, with a strong emphasis on adding AI features such as copilots, LLM integrations, and agent-based workflows. Much of the work centers on reliability — analyzing incidents, driving root-cause fixes, and building automation and diagnostics to reduce operational load. Requires a Bachelor's degree plus 4-plus years of engineering experience and the ability to pass Microsoft cloud security screening.

Summary

A customer-facing enterprise-architect role delivering supply-chain and manufacturing integration projects that connect Agentforce to core enterprise systems such as ERP, PLM, and CRM. The work blends hands-on integration architecture — API-led connectivity, process orchestration, and agentic data pipelines — with setting customers' AI integration roadmaps and working directly with their executive teams. Requires roughly 4-8 years in enterprise architecture or solution engineering, hands-on prompt-engineering and LLM experience, coding proficiency in a language like Python or Java, and willingness to travel domestically for client engagements.

Summary

Builds scalable distributed systems for Microsoft Discovery, an enterprise platform pairing AI agents with high-performance computing to accelerate scientific and engineering R&D in fields like chemistry, materials, energy, and pharmaceuticals. It is framed as a startup-like team inside Microsoft that iterates fast and works closely with Microsoft Research. Requires a CS degree plus 2+ years of coding and a Microsoft Cloud Background Check.

Summary

A broadly scoped full-stack engineering posting whose single application is routed to multiple Salesforce hiring teams, covering architecture, design, implementation, and testing of scalable enterprise products. Responsibilities include mentoring, reviewing others' designs, building test automation, and participating in the team's on-call rotation, under a hybrid working model, with openings at mid, senior, and lead levels.

Summary

The GovCloud version of Salesforce's Public Cloud distributed-systems engineering work — designing, developing, and operating resilient large-scale back-end systems that run across thousands of compute nodes, with cloud infrastructure automation across AWS, GCP, Azure, or Alibaba. Because it supports U.S. government customers, candidates must be U.S. citizens working on U.S. soil and able to pass a Criminal Justice Information Services fingerprint screening, with citizenship verified via REAL ID documents; the role is offered at senior and lead levels.

Summary

A staff-level, hands-on software engineering position inside the Enterprise Information Services group of Providence St. Joseph Health, a large hospital system, taking solutions end-to-end from requirements and cost estimation through design, implementation, and quality validation for tools used by clinical and administrative staff (caregivers). The posting requires a bachelor's degree and 12 years of related experience, including at least 5 years as a lead engineer, and is a hybrid role.

Summary

Architecture and delivery lead for Innovation Studio, a Microsoft Garage product integrated with Microsoft Teams that helps organizations run hackathons and turn employee ideas into outcomes. The stack spans React, Azure Functions, Teams, GitHub, and Azure AI Foundry with agent orchestration, and the role also defines how the team itself adopts agentic and AI-assisted development workflows.

Summary

Service and operations engineering role owning Microsoft 365 service health in sovereign and government cloud environments, deploying, monitoring, and automating across the M365 stack (including Exchange Online Protection, Defender for Office, and Purview) with on-call incident response. The CTJ-Poly designation in the title indicates a U.S. government cleared position.

Summary

A software-architect role owning the platform architecture for Spiff, Salesforce Sales Cloud's incentive-compensation-management product that automates sales commissions at scale. The work centers on the core commission calculation engine — reusable calculation frameworks, API contracts, query and caching performance for sub-second calculations, and Data Cloud connectivity — and is increasingly reframed around AI-native and agentic design using vector databases, RAG, knowledge graphs, and tools like Claude Code or Codex. Suited to a hands-on technical leader who can define north-star architecture across engine, database, and infrastructure.

Summary

Site reliability role designing and supporting infrastructure and services for reliability and functionality, forecasting and responding to capacity needs, and building automation to monitor, analyze, and remediate issues. Collaborates with software development teams and performs incident response, provisioning, and decommissioning, with much of the work described as done under supervision.

Summary

Senior engineering role on Microsoft's Identity engineering team, which builds and operates the online identity providers behind Azure, Office, Xbox, and Windows at internet scale across both consumer and enterprise. The work is designing and developing large-scale, mission-critical identity services and processes while mentoring other engineers.

Summary

A back-end distributed-systems engineering role on Salesforce's Public Cloud teams, building and operating resilient services that run across thousands of compute nodes in multiple data centers on AWS, GCP, Azure, or Alibaba. Day-to-day work includes cloud infrastructure automation, Infrastructure-as-Code with Terraform, and microservices on Kubernetes, Docker, or Mesos, plus contributing to open-source tools like Spinnaker and Zookeeper; a single application is reviewed across teams and positions span mid through principal.

Summary

A hands-on senior/lead role building scalable, fault-tolerant transactional and distributed-storage systems, requiring strong Java or C skills in a Unix/Linux environment. Notably, the posting makes AI-first development and advanced prompt engineering a core requirement — candidates are expected to use tools like Claude Code, Copilot, or Cursor daily and to maintain the shared system context that keeps AI output reliable. Calls for roughly 5-9+ years of experience (or an M.Sc. with 3-7+), with relational-database or distributed-storage background and GCP as a plus.

Summary

A frontier AI-tooling role on the ES365 AI team within Microsoft 365 Engineering Systems, building the agentic engineering platform being adopted across Microsoft's largest codebases. Work includes orchestrating AI models and harnesses for tasks like large-scale refactoring, automated package integration, and codebase Q&A, with heavy dogfooding of the platform being built. Aimed at engineers who already ship software using coding agents and have strong opinions about agentic tooling.

Summary

Individual-contributor engineering role on Microsoft Research's Agentic Experiences team, taking scientific experiments from prototypes to reliable, scalable products used across the MSR labs in Redmond, New England, New York City, and Montreal. The work emphasizes AI-native development and agentic workflows for code generation, evaluation, and debugging across all layers of code and infrastructure, while helping modernize the organization's engineering practices.

Summary

An IT operations and observability role built around Nexthink, the Digital Employee Experience (DEX) platform: owning endpoint telemetry, experience scoring, proactive alerting, and self-healing automation to shift endpoint support from reactive to experience-driven. In practice this is a Nexthink platform-specialist role partnering with endpoint engineering and the service desk, not general software engineering. Remote for candidates within a 75-mile commute of the listed office locations.

Summary

A mid-level engineering role delivering Microsoft 365 government cloud offerings — cloud versions of Exchange, SharePoint, and Teams — for Microsoft's largest government customers on the Sovereign Cloud team. The CTJ-Poly designation indicates the role requires a U.S. government security clearance with polygraph. The work emphasizes distributed systems, scalability, and the high security and reliability bar these customers demand; posted for Atlanta and Seattle.

Summary

Backend engineering building and operating cloud-native distributed microservices and infrastructure that underpin Microsoft's cloud platforms, covering service orchestration, API design, telemetry, and deployment automation. Requires a CS degree plus 2+ years of coding and the ability to pass a Microsoft Cloud Background Check renewed every two years. Preferred candidates bring 4+ years designing distributed backend services in cloud environments like Azure, AWS, or GCP.

Summary

A Principal Applied Scientist role in Microsoft's CoreAI organization, developing machine-learning techniques for AI safety, alignment, and trustworthy AI that ship in products like GitHub Copilot and Azure OpenAI. It requires a CS-related degree with 6+ years of experience (or advanced-degree equivalents), favors LLM and large-distributed-systems experience, and requires passing a Microsoft Cloud background check.

Summary

Distributed-systems engineering on OneDrive and SharePoint, spanning internet-scale data stores, file and site browsing performance, and the background infrastructure serving hundreds of millions of users. Openings range from the customer-facing front end through core service logic to mega-scale storage. The role includes acting as a Designated Responsible Individual on an on-call rotation to monitor and restore service health.

Summary

An on-device machine-learning engineering role on the Edge Web Platform team, integrating on-device models and runtimes into the browser and exposing them through emerging web APIs such as WebNN, the Prompt API, and the Writing Assistance API. It blends browser-platform C++ work with ML evaluation pipelines and standards engagement for cross-browser interoperability. Requires 4+ years of coding experience, stated base range roughly 119,800 to 234,700 USD, and the four-days-per-week office expectation applies.

Summary

A Microsoft Research position advancing the science of software engineering itself, focused on formal methods, programming languages, automated reasoning, and testing, increasingly blended with AI and agent technologies. Work is publication-oriented and collaborative, and expects a PhD (or a master's plus 3 years or bachelor's plus 4 years of research experience) with the ability to both build large-scale systems and write technical papers. Primarily on-site in Redmond; stated base range is roughly 119,800 to 234,700 USD.

Summary

Deep systems and performance engineering on the Edge Web Platform Rendering team, working directly in the Chromium rendering pipeline to shape how modern web content is rendered, animated, and interacted with. It involves contributing upstream to Chromium and web standards bodies (W3C), and suits engineers who thrive in large, complex C++ codebases. Requires 4+ years of coding experience; the four-days-per-week Microsoft AI office expectation applies.

Summary

A software engineer role driving reliability and automation across Microsoft's Commerce + Ecosystems stack in dedicated clouds, developing scripts and automation for distributed systems and conducting root-cause analyses. Requires an active U.S. Government Top Secret clearance with SCI access based on an SSBI with polygraph.