Developer Experience Engineering Manager

Microsoft is seeking a Developer Experience Engineering Manager to transform developer experience for large-scale AI Research. This role involves defining the vision and strategy for developer productivity, building a high-performing team, and driving AI-first development practices to enhance software development processes.

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

Requirements:

• 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