Principal Software Engineer - AI Infrastructure

• 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.

Required Qualifications: 

• 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
• OR equivalent experience.
  

Preferred Qualifications: 

• 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.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.