Site Reliability Engineer II at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Reliability, Incident Management, Performance Optimization, Infrastructure Automation, Technical Leadership, Customer Advocacy, Research & Innovation, Software Engineering, Network Engineering, Systems Administration, Cloud Platforms, Distributed Systems, High-Performance Computing, Scripting, Linux

Industry

Software Development

Description

- 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. Required/Minimum Qualifications: - 4+ years technical experience in software engineering, network engineering, or systems administration - OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration - OR Master's Degree in Computer Science, Information Technology, or related field. - Proven ability to modify componentized, well-architected infrastructure software and collaborate across teams. - Proficient technical design, analytical, and debugging abilities. - 1+ years experience with incident management and reliability engineering in cloud or AI environments. Additional or Preferred Qualifications: - 5+ years technical experience in software engineering, network engineering, - OR systems administration - OR Bachelor's Degree in Computer Science, Information Technology, - OR related field AND 2+ years technical experience in software engineering, network engineering, - OR systems administration - OR Master's Degree in Computer Science, Information Technology, - OR related field AND 1+ year(s) technical experience in software engineering, network engineering, - 1+ year(s) people management experience. - 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.

Responsibilities

Ensure the reliability, scalability, and security of AI infrastructure while leading incident response and performance optimization. Develop automation tools and provide technical guidance to enhance service availability and drive innovation.