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
- Work on the design and development of the core AI Infrastructure distributed and in-cluster services that support large scale AI training and inferencing.
- Develop, test, and maintain control plane services written in C#, hosted on Service Fabric or Kubernetes (AKS) clusters.
- Enhance systems and applications to ensure high stability, efficiency and maintainability, low latency, tight cloud security.
- Provide operational support and DRI (on-call) responsibilities for the service.
- Develop and foster a deep understanding of the AI/ML concepts, use cases, and relevant services used by our customers. Be an AI-first developer, making productive use of the available tools and actively engaging in experimentation and learning.
- Collaborate closely with service engineers, product managers, and internal applied research and data science teams within Microsoft to build better solutions together.
- Provide vision, expertise, and technical leadership to other team members.
- Embody our culture and values
Qualifications
Required 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.
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Hands-on (devops) experience with larger-scale, high-availability cloud services at the PaaS or IaaS level, based on microservices architecture, ideally related to AI infrastructure or workload hosting
- Proficiency with use of complex data structures and algorithms, preferably in the setting of a resource allocator/scheduler, workflow/execution orchestration engine, database engine, or similar
- Proficiency and thoroughness in unit testing and testability techniques
- Agentic development skills
- Experience with building and operating “stateful” and critical control plane services; handling challenges with data size and data partitioning; advanced use of a NoSQL cloud database
- Service reliability and fundamentals engineering; instrumentation for KPIs or performance analysis; demonstrated service and code quality mindset
- Applied knowledge of Kubernetes: service model, workload packaging and deployment, programmatic extensibility (CRDs, operators); or equivalent knowledge of Service Fabric; experience with any service mesh
- Data-driven design and troubleshooting and data analytics skills, ideally with Kusto
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 practical experience may substitute for the bachelor’s degree and experience requirement
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Pass the Microsoft background and Microsoft Cloud background checks upon hire or transfer and every two years thereafter
- Hands-on DevOps experience with large-scale, highly available PaaS or IaaS cloud services
- Experience with microservices architecture, ideally in AI infrastructure or workload hosting
- Proficiency with complex data structures and algorithms, preferably in resource allocation, scheduling, orchestration, or database systems
- Proficiency in unit testing and testability techniques
- Agentic development skills
- Experience building and operating stateful, critical control-plane services
- Experience handling data size and data partitioning challenges
- Advanced use of a NoSQL cloud database
- Service reliability, instrumentation, KPI measurement, performance analysis, and code quality experience
- Applied knowledge of Kubernetes, including service models, workload packaging, deployment, CRDs, and operators, or equivalent Service Fabric knowledge
- Experience with a service mesh
- Data-driven design, troubleshooting, and data analytics skills, ideally using Kusto
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.
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