Microsoft

Software Engineer II - GPU COGS/Efficiency

Microsoft
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2 days ago
Suzhou, China or Shanghai, ChinaMid Level

Responsibilities

  • Design, develop, test, and maintain scalable software services and data pipelines connecting operational telemetry, product usage, infrastructure consumption, and cost data.
  • Implement cloud services supporting Microsoft 365 and Copilot economics, infrastructure efficiency, and data-driven decisions.
  • Build capabilities that expose cost drivers, resource utilization, service dependencies, and operational efficiency opportunities.
  • Apply AI technologies, agents, and intelligent automation to improve engineering productivity and operational workflows.
  • Own software feature and component design, implementation, testing, delivery, and production support.
  • Improve service reliability, observability, performance, data quality, and operational efficiency through monitoring, troubleshooting, and automation.
  • Collaborate with engineers, product managers, and partner teams on requirements, technical solutions, architecture, and delivery.
  • Participate in code reviews, technical design discussions, and production operations.

Requirements

  • Bachelor's degree in Computer Science or a related technical field and 3+ years of technical engineering experience with coding, or equivalent experience.
  • Preferred qualifications include a master's degree and 4+ years of experience, or a bachelor's degree and 4+ years of experience, or equivalent experience.
  • Experience developing and maintaining scalable software systems, cloud services, distributed systems, data platforms, or data-processing pipelines.
  • Experience delivering software from design and implementation through testing, deployment, and production support.
  • Knowledge of software engineering fundamentals including data structures, algorithms, distributed systems, cloud architecture, reliability, and scalability.
  • Experience with data, analytics, telemetry, observability, dashboards, data pipelines, or data-driven applications.
  • Familiarity with large language models, AI agents, AI-assisted development tools, cloud monitoring, troubleshooting, and automation.
  • Ability to collaborate across teams, solve technical problems, translate requirements into reliable solutions, and maintain code quality and engineering best practices.

Categories

BackendData Engineering
Microsoft

About Microsoft

10,000+ employees

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.

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