Senior Software Engineer, AI Infrastructure

Job d:

Location:

United States, Washington, Redmond Salary: USD $119,800 - $234,700 per year

Employment type:

Full-Time Work site: 3 days / week in-office

Role type:
Individual Contributor Travel:
Less than 25%
Profession:
Software Engineering Discipline:
Software Engineering Company:
Microsoft Overview Every  time someone uses Azure OpenAI Service, their request needs to reach the right graphics processing unit (GPU), in the right region, at the right moment. Our team makes that happen. We build the platform that decides how AI traffic flows across Microsoft's global infrastructure, so services like Azure OpenAI and Microsoft Copilot stay fast and reliable. You'll join a supportive, connected team that keeps these experiences fair and dependable for every customer while making the most of every GPU we run.

As a Senior Software Engineer, AI Infrastructure on our team, you'll design, build, and run services that route and prioritize AI requests and match them to available computing capacity. You'll own the design of key parts of our platform, work with partner teams to bring new AI models and capabilities to customers, and help keep our services healthy in production. This opportunity will allow you to deepen your knowledge of distributed systems at global scale, learn how the world's leading AI models are served, and grow as a technical leader and mentor on your team.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities Design
- Own the design of key parts of our platform for routing AI traffic and managing computing capacity. Write design proposals, compare options, and make sure designs meet goals for speed, reliability, scale, and cost.

Coding
- Write clear, secure, well-tested code and set a good example for the team. Give thoughtful, timely code reviews that help others grow.

Implement
- Break work into clear, dependable milestones with program managers. Use feature flags and gradual rollouts to test changes safely, measure their impact, and roll back quickly when needed.

Reliability and Supportability
- Take part in the on-call rotation as a designated responsible individual (DRI). Add monitoring and dashboards, improve troubleshooting guides, and help reduce how often incidents happen.

Understand User Requirements
- Work with product managers and partner teams to understand what customers need and turn those needs into clear technical requirements.

Engineering Excellence
- Build security, privacy, and compliance into every stage of your work, from design to deployment. Automate testing and releases, and share what you learn with the team.

AI-Native Development
- Use artificial intelligence (AI) tools across the software development lifecycle (SDLC), from writing code and tests to investigating live issues. Take responsibility for AI-generated work and help teammates do the same.

Embody our Culture and Values Qualifications Required

Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or GoOR equivalent experience. Other Requirements Ability 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:

Microsoft Cloud Background Check:
This position will be…