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About the role
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
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