About the role
Hire, manage, and grow a high-performing team of software engineers, fostering a culture of excellence, inclusion, and innovation. Lead the design and development of large-scale distributed systems and services that power Azure's AI infrastructure. Drive engineering planning and execution while ensuring alignment with organizational OKRs and long-term strategy. Establish lean, scalable, and efficient processes that promote innovation and engineering rigor. Deliver best-in-class engineering by ensuring services and components are modular, secure, reliable, diagnosable, observable, and reusable. Improve test coverage, automation, and integration testing to proactively identify and resolve reliability gaps. Ensure live-site reliability and service health through robust monitoring, telemetry, and automation. Apply data-driven insights to optimize performance, scalability, and customer satisfaction. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience. 1+ years experience building and operating networking infrastructure for hyperscale datacenters or AI clusters. 1+ years hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, MRC, NVLink, UALink). 10+ years of professional software design and development experience in large-scale distributed systems.
