Job Description

Senior Site Reliability Engineer

====================================


Hyderabad, Telangana, India



Date posted

Oct 29, 2025

Job number

1902571

Work site

0 days / week in-office - remote

Travel

0-25

%

Role type

Individual Contributor

Profession

Software Engineering

Discipline

Site Reliability Engineering

Employment type

Full-Time

Overview

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 SRE, 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.

Qualifications

Required/Minimum Qualifications:

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 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 2+ years technical experience in software engineering, network engineering, or systems administration.
5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms. Proven ability to modify componentized, well-architected infrastructure software and collaborate across teams. 1+ years experience with incident management and reliability engineering in cloud or AI environments. Excellent interpersonal, communication, and collaboration skills.

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.

Additional or Preferred Qualifications:

7+ years technical experience in software engineering, network engineering,
+ OR systems administration
+ OR Bachelor's Degree in Computer Science, Information Technology,
+ OR related field AND 4+ years technical experience in software engineering, network engineering,
+ OR systems administration
+ OR Master's Degree in Computer Science, Information Technology,
+ OR related field AND 3+ years technical experience in software engineering, network engineering
Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem). Experience with GPUs, InfiniBand, or similar high-performance technologies. Proficiency in RDMA (Remote Direct Memory Access), MPI (Message Passing Interface), and high-performance computing architecture. Proficient in scripting (PowerShell, Shell script, etc.) and deep expertise in Linux.

#azurecorejobs

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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
?Industry leading healthcare
?Educational resources
?Discounts on products and services
?Savings and investments
?Maternity and paternity leave
?Generous time away
?Giving programs
?Opportunities to network and connect
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.