Software Engineering - Ctj - Poly

Microsoft Microsoft · Big Tech · Redmond, WA +3 · Software Engineering

Software Engineer role focused on building and maintaining secure, scalable cloud infrastructure for Azure AI Platform workloads, specifically for air-gapped and sovereign cloud environments. The role involves designing, developing, and operating foundational services that power Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry capabilities, leveraging AI-assisted development tools and adhering to strong engineering fundamentals.

What you'd actually do

  1. Design, build, and maintain secure, reliable, and scalable cloud services supporting Azure AI Platform workloads across air gapped and sovereign cloud environments.
  2. Apply strong engineering fundamentals—automation, observability, testing, resiliency, and secure by default design—throughout the development lifecycle.
  3. Develop and improve automated systems for deployment, validation, telemetry, and operations to reduce manual overhead and increase engineering velocity.
  4. Use AI assisted development and operational tools (e.g., GitHub Copilot, safe Large Language Mode (LLM) workflows) to accelerate coding, debugging, documentation, and rapid prototyping as part of becoming a full stack AI native builder.
  5. Participate in on call rotations, investigate service issues, perform root cause analysis, and contribute durable fixes to improve long term system health.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical discipline
  • proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph
  • U.S. citizenship

Nice to have

  • Experience with Docker and Kubernetes
  • Background in cloud platforms (Azure preferred)
  • Proficiency in C# or Python
  • Understanding of CI/CD and automation best practices
  • Problem‑solving and debugging skills across cloud services, platform components, and operational tooling
  • Demonstrated ability and willingness to learn rapidly in a fast‑evolving AI and infrastructure environment, including staying current with new architectures, tooling, and best practices.

What the JD emphasized

  • active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph
  • Citizenship & Citizenship Verification
  • U.S. citizenship

Other signals

  • AI infrastructure
  • secure cloud environments
  • foundational services
  • AI accelerated workflows
  • full stack AI native builders