4 days ago
Suzhou, China +2 moreStaff+
Responsibilities
- Set technical direction and architecture for performance, scalability, reliability, and strategic efficiency across Microsoft 365 and Copilot.
- Own complex, ambiguous engineering problems end to end from investigation and architecture through implementation, production rollout, measurement, and sustained operation.
- Lead cross-organizational engineering initiatives and architectural decisions across multiple services and organizations.
- Build reusable platforms, frameworks, APIs, automation, tools, and engineering patterns that create technical leverage.
- Use telemetry, profiling, benchmarking, experimentation, evaluation frameworks, and production signals to identify root causes and guide technical tradeoffs.
- Design and implement solutions for latency reduction, infrastructure demand, telemetry efficiency, resource utilization, reliability, cost efficiency, and scalable service operation.
- Build and apply agents, automation, AIOps, and AI-driven engineering systems for investigation, evaluation, remediation, and operational scalability.
- Raise engineering standards through architecture and code reviews, technical communication, mentoring, and development of senior engineers and technical leaders.
Requirements
- Bachelor's degree in computer science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Experience building commercial-grade software, including substantial experience with mission-critical, large-scale, high-availability services.
- Experience setting technical direction and architecture for large-scale distributed systems and driving decisions across services, platforms, or engineering organizations.
- Deep expertise in performance, scalability, reliability, and efficiency engineering for large-scale cloud or distributed systems.
- Experience creating reusable platforms, frameworks, APIs, automation, tools, or architectural patterns while balancing technical and customer tradeoffs.
- Demonstrated technical leadership, cross-organizational influence, clear communication of complex decisions, and mentoring of senior engineers and technical leaders.
- Experience with LLM platforms, model-serving systems, AI infrastructure, or other large-scale AI-powered systems, including performance, capacity, reliability, or cost optimization.
- AI engineering fluency with agents, automation, AIOps, evaluation systems, or AI-driven analysis.
- Ability to pass the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
- Preferred qualifications include a master's degree with 8+ years of experience, or a bachelor's degree with 12+ years of experience, or equivalent experience.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.