Within Microsoft CoreAI, the Azure SRE Agent Platform team builds and operates production AI agents that help engineers detect, diagnose, and mitigate reliability issues across Azure services and customer workloads. Our work turns modern AI systems into reliable, production-grade operational tooling for AI ops scenarios, with a focus on quality, safety, and real-world impact.
We are looking for a Software Engineer 2 - CoreAI to help build the next generation of agentic systems for cloud operations. This role is for engineers who care deeply about product quality, end-to-end ownership, and the details that separate an exciting prototype from a system people trust during critical moments.
Our work spans the full lifecycle of agentic systems in production. We design and improve the core capabilities that shape agent behavior, including tool design, planning and execution loops, orchestration, evaluation, and safety guardrails. We also build the operational foundations that make those systems dependable in practice, including observability, progressive delivery, reliability engineering, and live-site learning.
Engineers on this team operate with high autonomy in a highly agile environment: short cycles, thin slices, feature flags, progressive delivery, and constant learning. We are looking for people with high agency and a bias for action - engineers who take ownership of ambiguous problems, move quickly, learn from production, and continuously raise the quality bar as they ship.
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
- Take ownership of important areas of the Azure SRE Agent Platform, including agent capabilities, orchestration, evaluation, and supporting platform services.
- Build and iterate on agentic systems, including tools, planning and execution loops, evaluations, and safety mechanisms.
- Design and ship reliable capabilities that improve incident detection, diagnosis, mitigation, and operational learning.
- Use telemetry, experiments, evaluations, and user feedback to guide iteration and investment.
- Contribute to resilient, observable systems that operate safely and effectively in production.
- Partner closely with engineers, SREs, and product counterparts to turn ambiguous problems into high-quality shipped solutions.
- Participate in debugging, live-site learning, and post-incident hardening to continuously improve system quality.
- Contribute to architecture, engineering standards, and development practices across the team.
Qualifications
Required/Minimum Qualifications:
- 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?
- 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/Additional Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
- 3+ years of experience building and operating cloud platforms or distributed services, with depth in service architecture, deployment, and observability
- Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration
- Product mindset with a track record of owning ambiguous problem spaces and driving them to high-quality outcomes
- Solid engineering fundamentals, including systems design, performance, and debugging in complex production environments
- Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops
- Experience with Kubernetes, container orchestration, or cloud-native infrastructure is a plus
- Experience contributing to or leading open-source projects on a scale is a plus
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:
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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field
- 2+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python
- Equivalent experience may be considered in lieu of the stated degree and experience requirements
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, Go, or Python
- 3+ years of experience building and operating cloud platforms or distributed services, including service architecture, deployment, and observability
- Hands-on experience building and operating generative AI or agentic systems in production
- Experience owning ambiguous problem spaces and driving high-quality outcomes
- Strong systems design, performance, and debugging fundamentals in complex production environments
- Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops
- Experience with Kubernetes, container orchestration, or cloud-native infrastructure
- Experience contributing to or leading large-scale open-source projects
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
