Senior Site Reliability Engineer

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Skills you'll use

What you'll do

• 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.

Who can apply

• 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.

About Microsoft

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