12 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Lead the design and hands-on implementation of software and infrastructure improvements across Azure AI services in air-gapped and sovereign environments.
- Own engineering initiatives from problem definition and technical design through testing, rollout, and operational follow-through.
- Work across codebases and architectures to integrate capabilities and resolve service dependency, networking, identity, and infrastructure challenges.
- Build reusable automation, deployment tooling, release validation, and observability to improve reliability and engineering efficiency.
- Participate in on-call rotations, investigate production issues, coordinate service restoration, and deliver preventative fixes.
- Mentor engineers and provide technical guidance through design discussions, code reviews, and documentation.
- Evaluate and apply approved AI-assisted development tools, including GitHub Copilot, while maintaining security and engineering quality.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ 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 access to Sensitive Compartmented Information based on an SSBI with polygraph.
- Ability to satisfy Microsoft, customer, and government security screening requirements, including the Microsoft Cloud background check.
- U.S. citizenship and citizenship verification are required due to applicable citizenship-based legal restrictions.
- Experience designing, developing, and operating production cloud services or distributed systems using C#, Python, or another general-purpose programming language is preferred.
- Ability to become productive in unfamiliar codebases and apply software engineering fundamentals across services, architectures, and technology stacks is preferred.
- Experience with architectural tradeoffs involving reliability, scalability, security, maintainability, and system dependencies is preferred.
- Experience deploying or troubleshooting containerized services using Docker and Kubernetes on Azure, AWS, Google Cloud, or comparable platforms is preferred.
- Experience building deployment automation, CI/CD pipelines, testing frameworks, or observability tooling is preferred.
- Experience diagnosing issues across application, platform, and infrastructure boundaries and leading cross-team technical delivery is preferred.
Benefits
- The typical U.S. base pay range is $119,800-$234,700 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of $160,200-$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will be open for at least 5 days and applications are 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.