Responsibilities
- Design, build, and operate large-scale distributed systems that power the lifecycle of Artificial Intelligence (AI) models and services across Microsoft.
- Drive architecture, implementation, and evolution of cloud platform capabilities that improve deployment velocity, reliability, governance, and operational excellence for AI workloads.
- Partner with engineering, product management, and research teams to translate complex business and technical requirements into scalable platform solutions.
- Lead the development of highly available, secure, and observable services leveraging Site Reliability Engineering (SRE) principles and best practices.
- Improve developer productivity by creating self-service experiences, automation, and tooling that simplify onboarding, deployment, monitoring, and management of AI applications.
- Analyze production systems, identify performance and reliability opportunities, and drive continuous improvements through data-driven engineering decisions.
- Mentor engineers, contribute to technical strategy, and influence engineering excellence through design reviews, knowledge sharing, and cross-team collaboration.
Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Master'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 Bachelor'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 equivalent experience.
- Experience designing, building, and operating large-scale distributed systems or cloud services with high availability, reliability, and performance requirements
- Experience with Microsoft Azure, Kubernetes, containers, infrastructure as code, and modern continuous integration and continuous deployment (CI/CD) systems.
- Experience operating production services, including observability, incident management, capacity planning, and service health monitoring.
- Experience building developer platforms, control planes, orchestration systems, workflow engines, or platform services used by other engineering teams
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:
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 and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, Python, or equivalent experience.
- Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in applicable programming languages, or bachelor's degree and 8+ years of experience, or equivalent experience.
- Experience designing, building, and operating large-scale distributed systems or highly available, reliable, high-performance cloud services.
- Experience with Microsoft Azure, Kubernetes, containers, infrastructure as code, and modern CI/CD systems.
- Experience operating production services, including observability, incident management, capacity planning, and service health monitoring.
- Experience building developer platforms, control planes, orchestration systems, workflow engines, or platform services used by engineering teams.
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
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