The Senior Supercomputing Operations Engineer role at Microsoft Azure involves managing the day-to-day operations of GPU interconnect fabrics, ensuring reliability and performance for AI workloads. The team is responsible for maintaining large-scale supercomputing systems that support cutting-edge AI training and scientific computing. This position focuses on incident management, debugging complex failures, and improving operational processes through automation and tooling. By joining this team, you will contribute to the reliability of Azure's supercomputing deployments and support the next wave of AI innovation.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• 4+ years of experience operating high performance computing (HPC), artificial intelligence (AI), or large-scale distributed systems in production environments.
• 1+ years experience operating interconnect fabrics for HPC, AI, or large-scale distributed systems in production.
• Linux systems knowledge with demonstrated experience debugging low level infrastructure issues.

• Act as the DRI for supercomputing clusters and GPU compute and interconnect fabric operations.
• Lead incident triage, mitigation, recovery, and root cause analysis for compute and fabric-related production issues.
• Perform deep, cross-stack debugging spanning hardware provisioning, GPU interconnect fabric, PCIe subsystems, and GPU interactions.
• Drive operational excellence by identifying systemic failure patterns and developing technical guidance, troubleshooting procedures, playbooks, and escalation frameworks.
• Design and leverage automation, telemetry, and diagnostic tooling to improve issue detection, observability, debuggability, and mean time to mitigation.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.