Microsoft-posted 3 months ago
5,001-10,000 employees

As a Software Engineer in the Azure Compute team, you will contribute to the development of foundational cloud infrastructure powering services such as Virtual Machines, Serverless Containers, Images, Agents and Extensions, and the Compute Control Plane. Your work will directly impact areas like security patching, capacity buildouts, availability zone resiliency, billing and usage, and developer support through SDKs and Copilots. You’ll design and implement extensible, maintainable code across distributed systems, applying deep knowledge of cloud computing, networking, storage, and Linux development. You’ll collaborate with stakeholders to define user requirements, incorporate feedback, and ensure high-quality solutions through robust testing and telemetry-driven debugging. This role offers the opportunity to work in specialized domains such as REST APIs, partitioned and replicated services, and ML/AI development (including model fine-tuning and MCP servers). You’ll also contribute to backend performance tuning and ensure solutions meet rigorous standards for security, privacy, accessibility, and scalability.

  • Contribute to the development of foundational cloud infrastructure.
  • Impact areas like security patching, capacity buildouts, and availability zone resiliency.
  • Design and implement extensible, maintainable code across distributed systems.
  • Collaborate with stakeholders to define user requirements and incorporate feedback.
  • Ensure high-quality solutions through robust testing and telemetry-driven debugging.
  • Work in specialized domains such as REST APIs and ML/AI development.
  • Contribute to backend performance tuning.
  • Deep knowledge of cloud computing, networking, storage, and Linux development.
  • Experience in designing and implementing distributed systems.
  • Ability to collaborate with stakeholders and define user requirements.
  • Experience with robust testing and telemetry-driven debugging.
  • Experience with REST APIs.
  • Familiarity with partitioned and replicated services.
  • Experience in ML/AI development, including model fine-tuning.
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