Principal Software Engineer - AI Infrastructure
- Location
- Redmond | United States, WA
- Job type
- Full-time
- Level
- Executive
- Experience
- 12+ years
- Education
- Bachelor's degree
- Listed
- 29 days ago
Skills & highlights for this role
- distributed systems
- reliability engineering
- distributed tracing
Also useful
- AI/ML serving platforms
- Azure Monitor
- load balancing
About the role
Define and drive the architecture and technical roadmap for platform reliability, observability, and operational health. Design unified health and telemetry capabilities that connect customer impact with application, capacity, dependency, infrastructure, and deployment signals.
Develop platform safeguards for overload protection, capacity management, routing integrity, configuration consistency, and automated isolation and recovery. Establish engineering practices for production validation, progressive delivery, regression detection, fault testing, and automated rollback.
Advance end-to-end request tracing and diagnostics across distributed services, including routing, retries, failover, and asynchronous operations. Lead cross-team architecture efforts, mentor engineers, and turn production learnings into reusable platform capabilities and measurable reliability improvements.
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Experience with AI/ML serving platforms, high-performance computing, accelerator-based infrastructure or other compute-intensive distributed systems. Experience with distributed tracing, capacity management, load balancing, admission control, retries, backpressure, and graceful degradation. Proficiency in Azure Monitoring systems in the Azure ecosystem would be a plus.
Experience designing, building, and operating large-scale distributed systems, cloud services, or other complex production platforms. Experience with reliability engineering, observability, service health, telemetry, and production incident response. Demonstrated ability to lead complex technical initiatives and drive alignment across engineering teams and organizational boundaries.
Strong written and verbal communication skills, including the ability to explain technical strategy and architectural decisions to engineers and senior leaders.
From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Principal Software Engineer - AI Infrastructure job at Microsoft located?
This Principal Software Engineer - AI Infrastructure position at Microsoft is located in Redmond | United States, WA. Always check Microsoft's application page for specific state eligibility or relocation policies.
What qualifications are required for Principal Software Engineer - AI Infrastructure at Microsoft?
For the Principal Software Engineer - AI Infrastructure role, Microsoft highlights 12+ years of relevant experience; a bachelor's degree; experience with distributed systems, reliability engineering, distributed tracing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Principal Software Engineer - AI Infrastructure position at Microsoft?
This listing links directly to Microsoft's application page. You can apply directly on Microsoft's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.