1 day ago
Base Salary
$143k - $304k/yr
Responsibilities
- Set technical direction and define architectural approaches that improve the security, reliability, scalability, and maintainability of AI services in sovereign and air-gapped environments.
- Lead ambiguous, cross-team initiatives from technical investigation and planning through implementation, validation, rollout, and operational follow-through.
- Design and implement critical software and infrastructure changes, including code reviews, design reviews, testing, and documentation.
- Build reusable deployment frameworks, release validation, observability, and operational automation adopted across multiple services.
- Address sovereign-cloud requirements, cross-service incompatibilities, and unnecessary divergence between cloud environments.
- Participate in on-call rotations, lead complex incident response, and drive improvements that reduce customer impact and recovery time.
- Mentor engineers, guide technical leads, and improve ownership, documentation, and engineering practices across teams.
- Evaluate approved AI-assisted engineering tools such as GitHub Copilot with appropriate validation and security controls.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Active U.S. Government Top Secret clearance with Sensitive Compartmented Information access based on a Single Scope Background Investigation with Polygraph.
- Ability to satisfy Microsoft, customer, and government security screening requirements before and after hire, including Microsoft Cloud background checks.
- U.S. citizenship and citizenship verification are required due to applicable legal restrictions.
- Experience shaping technical roadmaps and aligning teams on architectural changes, shared infrastructure, or engineering standards is preferred.
- Experience with sovereign, air-gapped, regulated, or otherwise constrained environments is preferred.
- Experience building reusable platforms, deployment automation, CI/CD pipelines, validation frameworks, or observability capabilities is preferred.
- Experience operating containerized services with Docker and Kubernetes on Azure or comparable cloud platforms is preferred.
- Experience with production reliability, incident analysis, resilient design, safe rollouts, AI service infrastructure, model delivery, inference platforms, or distributed systems is preferred.
- Demonstrated mentoring, technical leadership, and improvement of engineering practices beyond an individual project is preferred.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
Tech Stack
Categories
About Microsoft
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.