Job description

Overview CoreAI sits at the center of Microsoft’s mission to redefine how software is built and experienced, providing the foundational platforms, services, and developer experiences that power the next generation of AI-driven applications. As part of CoreAI, the Experimentation Platform (ExP) enables trustworthy, high-scale online experimentation that accelerates product learning and drives progress across Microsoft’s AI ecosystem. You will play a key role in helping teams ship better AI experiences faster by providing the experimentation capabilities needed to evaluate, refine, and safely deploy new innovations. In this role, you will help strengthen one of the highest-scale experimentation platforms - critical infrastructure that enables rapid iteration in AI systems and product features. You will contribute to services that empower engineers and scientists across the company to measure impact, validate hypotheses, and advance state-of-the-art AI capabilities through rigorous experimentation. This is a unique opportunity to build systems at scale while deepening your expertise in distributed systems, service reliability, and experimentation methodologies. You will thrive in this role if you enjoy solving complex distributed systems challenges, learning experimentation fundamentals, and building reliable infrastructure that accelerates Microsoft’s progress in AI. • Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. Responsibilities Responsibilities • Design, implement, and maintain clean, reliable, testable code using best practices and responsible AI-assisted development while escalating blockers early. • Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability. • Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features. • Build extensible, maintainable services and features with strong diagnosability, reliability, and production-readiness. • Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents. • Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements. Qualifications Qualifications Required: Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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. Preferred: • Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. • Experience working with cloud platforms (Azure, AWS, GCP), building and maintaining distributed systems including deployment, monitoring and troubleshooting of production workloads. • Experience using observability tools (logging, metrics, tracing) to diagnose service issues and improve system reliability. • Experience with experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact and driving data-informed ship decisions. • Familiarity with AI-assisted development workflows or responsible use of AI coding tools. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

You will thrive in this role if you enjoy solving complex distributed systems challenges, learning experimentation fundamentals, and building reliable infrastructure that accelerates Microsoft’s progress in AI.
Design, implement, and maintain clean, reliable, testable code using best practices and responsible AI-assisted development while escalating blockers early.
Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability.
Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features.
Build extensible, maintainable services and features with strong diagnosability, reliability, and production-readiness.
Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents.
Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements.
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.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Experience working with cloud platforms (Azure, AWS, GCP), building and maintaining distributed systems including deployment, monitoring and troubleshooting of production workloads.
Experience using observability tools (logging, metrics, tracing) to diagnose service issues and improve system reliability.
Experience with experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact and driving data-informed ship decisions.
Familiarity with AI-assisted development workflows or responsible use of AI coding tools.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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