Join the Azure Specialized AI Infrastructure team in India to drive advancements in Artificial Intelligence (AI) and support high-performance infrastructure for generative AI workloads. As a Senior Site Reliability Engineer, you will automate, and maintain large-scale distributed systems powering latest AI applications and machine learning models. Your primary focus will be on the reliability, scalability, and performance of AI infrastructure, ensuring seamless operations for mission-critical AI services. The role emphasizes a start-up mindset, collaboration, and customer advocacy.
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
- Reliability: Ensure the reliability, scalability, and security of AI infrastructure supporting HPC & AI workloads.
- Incident Management: Lead incident response, root cause analysis, and continuous improvement to minimize downtime and optimize service availability.
- Performance Optimization: Identify and resolve bottlenecks in compute, storage, networking, and specialized hardware (GPUs, InfiniBand) to enhance AI system performance.
- Infrastructure Automation: Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of AI infrastructure, including containerized environments (Kubernetes, Docker).
- Technical Leadership: Provide technical guidance in cloud and AI infrastructure technologies, collaborating with cross-functional teams to drive innovation and best practices.
- Customer Advocacy: Act as a customer advocate, focusing on service excellence and live site reliability for AI workloads.
- Research & Innovation: Stay informed on emerging AI infrastructure technologies and industry trends, recommending adoption where beneficial.
Qualifications
Required Qualifications:
- Master's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration
- OR equivalent experience.
- 12+ years of professional software engineering experience, with 8+ years in service operations, monitoring, and reliability improvement for infrastructure.
- 5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms.
- 1+ years experience with incident management and reliability engineering in cloud or AI environments.
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.
- Doctorate Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, or systems administration
- OR Master's Degree in Computer Science, Information Technology, or related field AND 6+ years technical experience in software engineering, network engineering, or systems administration
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration
- OR equivalent experience.
- 3+ years technical experience working with large-scale cloud or distributed systems.
- 1+ years experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem).
- 1+ years experience with large supercomputers and AI platforms.
- 1+ years experience with GPUs, InfiniBand, or similar high-performance technologies.
- Publications and/or certifications related to cloud or AI infrastructure technologies a plus.
#azurecorejobs
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
- Master's degree in Computer Science, Information Technology, or related AND 2+ years technical experience OR Bachelor's degree AND 8+ years technical experience OR equivalent experience
- 12+ years of professional software engineering experience, with 8+ years in service operations, monitoring, and reliability improvement for infrastructure
- 5+ years hands-on experience developing and supporting infrastructure services for AI or cloud platforms
- 1+ years experience with incident management and reliability engineering in cloud or AI environments
- Ability to meet Microsoft Cloud Background Check and required security screening requirements
- Doctorate degree in CS/IT (or advanced degree combinations) as listed under preferred qualifications
- 3+ years technical experience working with large-scale cloud or distributed systems
- 1+ years experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem)
- 1+ years experience with large supercomputers and AI platforms
- 1+ years experience with GPUs, InfiniBand, or similar high-performance technologies
- Publications and/or certifications related to cloud or AI infrastructure technologies
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.
-
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.
-
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.
-
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.
