Responsibilities
- Own significant systems from design through production operation. Work across artificial intelligence automation, continuous integration and continuous delivery, distributed services, developer tooling, reliability, and code intelligence while contributing to architecture, engineering practices, and technical decisions within the team’s domain.
- Own a core capability end to end. Lead architecture, design documentation, implementation, quality, and operational health for services or technologies within a defined platform area, including artificial intelligence workflow automation, continuous integration and continuous delivery orchestration, build and validation services, developer experiences, code intelligence, or production operations. Lead technical reviews, contribute to roadmap decisions, and communicate trade-offs involving cost, latency, reliability, and quality.
- Improve engineering workflow quality with evidence. Build evaluation and validation systems for artificial intelligence-assisted changes, builds, tests, deployments, and code-intelligence experiences. Use measurable results to improve automation accuracy, release confidence, developer efficiency, and platform reliability.
- Scale automation and delivery platforms. Design systems that support large repositories, high-volume builds, parallel validation, dependable deployments, branch-aware workflows, resilient external integrations, rate-limit management, and effective cost controls.
- Operate a reliable production service. Define service-level objectives, alerts, runbooks, and incident practices. Strengthen multitenant authentication, secrets management, and network policy, and participate in on-call ownership for the systems you build.
- Integrate with engineering workflows. Expose automation, validation, delivery, and code-intelligence capabilities through Model Context Protocol (MCP) and application programming interfaces (APIs), connect to existing developer and continuous integration and continuous delivery systems, and translate partner feedback into practical platform improvements.
- Raise engineering standards and help the team deliver high-value work. Provide substantive code and design reviews, mentor engineers, model strong practices in testing, observability, migrations, and release discipline, identify technical gaps, develop proposals, build alignment with partner teams, and drive agreed solutions through delivery.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field
- AND 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 3+ years of experience building, testing, launching, and operating backend services or data-intensive systems in production.
- Experience owning the design and architecture of a significant system, including writing design documents and leading technical reviews.
- Experience in one or more of the following areas: distributed systems and concurrency; continuous integration and continuous delivery platforms; workflow orchestration or developer automation; large-scale data pipelines; cloud-native containerized services on Kubernetes; or search, retrieval, and code intelligence.
- Demonstrated ability to define an ambiguous problem and drive it through implementation, launch, and measurable results.
- Master's degree or PhD in Computer Science or a related technical field.
- 3+ years of experience delivering production software in one or more of the following areas: artificial intelligence-enabled automation, agentic workflows, automated software engineering tasks, evaluation frameworks, retrieval-augmented generation, embedding pipelines, or the Model Context Protocol (MCP).
- Experience operating vector, graph, or relational databases at scale, such as Qdrant, FAISS, Neo4j, or PostgreSQL.
- Experience building or operating continuous integration and continuous delivery systems, build and test infrastructure, release automation, deployment orchestration, policy gates, developer self-service platforms, or cloud services using infrastructure as code and Kubernetes deployment tooling.
- Experience with Google Remote Procedure Call (gRPC) service design, FastAPI or similar frameworks, and TypeScript and React front ends.
- Experience building developer tools, engineering automation, continuous integration and continuous delivery platforms, build or test systems, static analysis, code search, or code-intelligence products.
- Experience leading a technical workstream, mentoring engineers, or serving as the recognized owner of a system used by other teams.
#AIINFRA
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience
- 4+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- 3+ years of experience building, testing, launching, and operating backend services or data-intensive production systems
- Experience designing and architecting significant systems, including writing design documents and leading technical reviews
- Experience with distributed systems, CI/CD platforms, workflow orchestration, developer automation, large-scale data pipelines, Kubernetes, search, retrieval, or code intelligence
- Ability to define ambiguous problems and drive implementation, launch, and measurable results
- Master's degree or PhD in Computer Science or a related technical field
- 3+ years delivering production software involving AI-enabled automation, agentic workflows, automated software engineering, evaluation frameworks, retrieval-augmented generation, embedding pipelines, or MCP
- Experience operating vector, graph, or relational databases at scale, such as Qdrant, FAISS, Neo4j, or PostgreSQL
- Experience building or operating CI/CD systems, build and test infrastructure, release automation, deployment orchestration, policy gates, developer self-service platforms, or cloud services using infrastructure as code and Kubernetes tooling
- Experience with gRPC service design, FastAPI or similar frameworks, TypeScript, and React front ends
- Experience building developer tools, engineering automation, CI/CD platforms, build or test systems, static analysis, code search, or code-intelligence products
- Experience leading a technical workstream, mentoring engineers, or owning a system used by other teams
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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