Software Engineering - CTJ - Poly

• Design, build, and maintain secure, reliable, and scalable cloud services supporting Azure AI Platform workloads across air gapped and sovereign cloud environments.
• Apply strong engineering fundamentals—automation, observability, testing, resiliency, and secure by default design—throughout the development lifecycle.
• Develop and improve automated systems for deployment, validation, telemetry, and operations to reduce manual overhead and increase engineering velocity.
• 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.
• Participate in on call rotations, investigate service issues, perform root cause analysis, and contribute durable fixes to improve long term system health.
• Incorporate customer and partner feedback into engineering decisions, following the Foundry Product Way’s focus on customer first innovation and rapid learning loops.
• Collaborate across engineering teams using clear communication and canonical documentation to maintain alignment and support a culture of craftsmanship, curiosity, and continuous improvement.

• Bachelor's Degree in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph
• Ability to meet Microsoft, customer and/or government security screening requirements
• Pass Microsoft Cloud background check
• Verification of U.S. citizenship

• 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

Benefits and other compensation may be eligible per company policy