Microsoft
Senior Software Engineer - AI Infrastructure
$120K–$261K
Redmond, WA +1 · On-site · Senior · Full-time · Posted Oct 27, 2026
- Location
- Redmond, WA
Mountain View, CA - Experience
- 4+ years technical engineering experience; preferred alternatives: 6+ years with a Master's Degree, or 8+ years with a Bachelor's Degree.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Build and operate Azure’s distributed AI infrastructure for routing, scheduling, and optimizing large-scale LLM inference workloads.
What you'll do
- Design scalable traffic management, routing, capacity allocation, and workload optimization systems.
- Build observability and operational tooling, and improve reliability, resiliency, and fleet efficiency.
- Lead technical direction, production investigations, cross-team work, and engineering standards.
What they ask for
- Bachelor's Degree in Computer Science or related technical field and 4+ years technical engineering experience coding in a listed language, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check.
Nice to have
- Experience with telemetry, metrics pipelines, or resource scheduling systems.
- Familiarity with cloud platforms, container orchestration, large-scale services, or AI/ML infrastructure.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
C, C++, C#, Java, JavaScript, Python, Azure, Kubernetes
AI focus
Develop and operate infrastructure that routes, schedules, and optimizes LLM inference workloads across global infrastructure.
Model-written summary · the original posting is authoritative