2 days ago
Base Salary
$120k - $304k/yr
Responsibilities
- Own significant systems from design through production operation across AI automation, CI/CD, distributed services, developer tooling, reliability, and code intelligence.
- Lead architecture, design documentation, implementation, quality, operational health, technical reviews, and roadmap decisions for core platform capabilities.
- Build evaluation and validation systems for AI-assisted changes, builds, tests, deployments, and code-intelligence experiences.
- Design scalable automation and delivery platforms supporting large repositories, high-volume builds, parallel validation, dependable deployments, external integrations, rate-limit management, and cost controls.
- Operate reliable production services by defining service-level objectives, alerts, runbooks, incident practices, authentication, secrets management, and network policies.
- Expose automation, validation, delivery, and code-intelligence capabilities through Model Context Protocol and APIs and integrate them with existing engineering workflows.
- Provide code and design reviews, mentor engineers, improve testing and observability practices, identify technical gaps, and drive solutions through delivery.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
- Preferred: 3+ years building, testing, launching, and operating backend services or data-intensive production systems.
- Preferred: experience owning significant system architecture, writing design documents, and leading technical reviews.
- Preferred: experience with distributed systems, CI/CD platforms, workflow orchestration, developer automation, large-scale data pipelines, Kubernetes, search, retrieval, or code intelligence.
- Preferred: 3+ years delivering production software involving AI-enabled automation, agentic workflows, automated software engineering tasks, evaluation frameworks, retrieval-augmented generation, embedding pipelines, or Model Context Protocol.
- Preferred: experience operating Qdrant, FAISS, Neo4j, or PostgreSQL at scale.
- Preferred: experience with CI/CD systems, build and test infrastructure, release automation, deployment orchestration, policy gates, developer self-service platforms, infrastructure as code, and Kubernetes deployment tooling.
- Preferred: experience with gRPC service design, FastAPI or similar frameworks, TypeScript, and React front ends.
- Preferred: experience building developer tools, engineering automation, CI/CD platforms, build or test systems, static analysis, code search, or code-intelligence products.
- Preferred: experience leading a technical workstream, mentoring engineers, or owning a system used by other teams.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.