Responsibilities
Implement features and deliver them through the full engineering lifecycle from code authoring to production operation. Work across artificial intelligence automation, continuous integration and continuous delivery, distributed services, developer tooling, reliability, and code intelligence while adhering to engineering best practices.
Deliver features end to end. Given architecture and design documentation, perform implementation, quality, and operational health for defined features in the team domain, including artificial intelligence workflow automation, continuous integration and continuous delivery orchestration, build and validation services, developer experiences, code intelligence, or production operations. Participate in technical reviews and roadmap discussions, and reason about 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. Implement features 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. Contribute to measurement and maintenance of service-level objectives, alerts, runbooks, and incident practices. Follow security best practices for 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) to connect to existing developer and continuous integration and continuous delivery systems.
Maintain high engineering standards and help the team deliver high-quality work. Participate in substantive code and design reviews, and implement testing, observability, migrations, and release discipline for features you deliver.
Qualifications
Required Qualifications
Bachelor's Degree in Computer Science or related technical field
AND 2+ years 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
2+ years of experience building, testing, launching, and operating backend services or data-intensive systems in production.
Experience delivering features end-to-end in a significant system, including writing code, testing, deploying and monitoring.
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 execute a defined feature through implementation, launch, and measurable results.
1+ 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 using vector, graph, or relational databases, such as Qdrant, FAISS, Neo4j, or PostgreSQL.
Experience using 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 using developer tools, engineering automation, continuous integration and continuous delivery platforms, build or test systems, static analysis, code search, or code-intelligence products.
#AIINFRA
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
