We are looking for a senior technical leader to transform developer experience for large-scale AI Research. This team owns the foundational systems that power engineering velocity: monorepo, CI/CD, build systems, developer environments, and onboarding—serving hundreds of engineers and researchers working on frontier AI workloads.
As a Member of Technical Staff, Developer Experience Engineering Manager you will define the vision and strategy for developer productivity at supercomputing scale, build and lead a high-performing organization, and drive AI-first development practices that fundamentally improve how software is built, tested, and deployed.
Responsibilities
Responsibilities:
Own and evolve E2E DevEx Platform: monorepo strategy and governance, CI/CD systems and reliability, Build systems and performance optimizations, Developer environments
Drive step-function improvements in engineering velocity by reducing PR lead time and build times, increasing CI reliability and improving developer trust
Establish standards and guardrails for code quality, testing, and release practices
Lead adoption of agentic AI workflows across the engineering lifecycle (coding, testing, debugging, ops)
Build and lead a high-performing team, set technical direction and execution standards, drive accountability through clear goals and metrics
Partner with infrastructure, ML, and research teams to remove friction in training and experimentation workflows
Operate with clear metrics and accountability for productivity, reliability, and developer satisfaction
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 5+ years managing high performing engineering teams AND 5+ years of experience as Software Engineer.
- Deep expertise in build systems (e.g., Bazel), CI/CD, and monorepo management
- Proven track record improving developer productivity at scale (hundreds+ engineers) with experience driving organizational change and adoption of new practices/tools
Preferred Qualifications:
- Strong systems thinking across performance, reliability, and developer workflows
- Ability to balance speed, reliability, and standardization in a fast-moving environment
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Familiarity with AI/ML development workflows and training systems
- Experience integrating AI tools into software development workflows
- Experience with Bazel or large-scale monorepos
- Background in high-performance or large-scale compute environments
Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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.
Microsoft Mountain View, California, USA Office
1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043
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Palo Alto, United States
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San Jose, United States
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Sunnyvale, United States
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