Lead architecture and technical direction for reliability, observability, and operational health across a globally distributed AI platform. Design telemetry, health monitoring, capacity management, routing safeguards, overload protection, progressive delivery, fault testing, automated rollback, tracing, diagnostics, and recovery capabilities. Drive cross-team initiatives, mentor engineers, improve production practices, and build scalable infrastructure for AI inference and distributed services.
Overview
Responsibilities
Qualifications
We are looking for a Principal Software Engineer to advance the reliability and observability architecture of a large-scale, globally distributed AI platform. You will set technical direction and solve complex challenges across runtime, routing, capacity, infrastructure, and specialized hardware.
This role offers the opportunity to work at the intersection of distributed systems, cloud infrastructure, and AI inference. You will learn how advanced AI models are deployed and operated globally, collaborate with experts across the stack, and build foundational capabilities that directly improve customer experience.
This is an ideal role for a technical leader who enjoys solving ambiguous, cross-system problems, mentoring engineers, and shaping engineering practices across an organization.
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
Responsibilities
- 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.
Qualifications
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.
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 required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
#AIINFRA
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.
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