About the job
Join the Azure AI Platform air gapped engineering team as a Software Engineer II delivering secure, scalable, and mission critical AI infrastructure for Microsoft’s most sensitive cloud environments. We build foundational services that power Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry capabilities across air gapped, sovereign, and commercial clouds.
Responsibilities
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.
Embody our culture and values.
Qualifications
Minimum
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
The successful candidate must have an 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 are required pre-offer and post-hire for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination.
This position requires verification of U.S. citizenship due to citizenship-based legal restrictions.
Preferred
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience with Docker and Kubernetes
Background in cloud platforms (Azure preferred; GCP, AWS)
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.