Senior Software Engineer, AI Infrastructure
Microsoft · microsoft.com
RedmondSenior4+ yrs
Subscribers got this job on 16 October 2026.
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The job in short
AI infrastructure engineering.
PythonJavaC#KubernetesDockerMachine learningCompliance
Details
- Found
- 9 d ago · posted 2026-10-16
- Location as listed
- Redmond, WA,US, US
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
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 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 Go Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or Go OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or Go OR equivalent experience. 2+ years of experience with systems that route or schedule traffic, or that allocate computing resources. Experience with Python, Docker, and Kubernetes. Experience with AI or machine learning (ML) infrastructure, such as serving models in production or managing GPU fleets. Experience delivering projects with partner teams, from design through launch and operation. Experience being on call for highly available services and improving monitoring to reduce incidents.
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