Developer Experience Engineering Manager

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

• 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, * 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 $165,600.00 - $296,400.00 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 $220,800.00 - $331,200.00 per year.

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.