The Senior Software Engineer role in the Microsoft Azure High Performance Computing & AI Engineering team focuses on managing and operating supercomputers for AI workloads. This position involves designing capabilities for monitoring and troubleshooting large-scale supercomputing systems. The team emphasizes customer experience and data-driven decision-making, aiming to improve system performance and reliability. The role offers significant responsibility and the opportunity to directly impact customer satisfaction.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Experience diagnosing and troubleshooting GPU based systems such as H100, A100 or networking technologies such as InfiniBand or Ethernet.
• Experience with large scale data pipelines using tools such as Prometheus, Grafana.

• Contribute to improving key metrics such as Job Mean Time to Interrupt, Nodes in Service, and Mean Time to Resolve on flagship supercomputers.
• Manage operations of supercomputers by responding quickly to mitigate issues.
• Implement systemic solutions and mitigations to complex issues impacting performance or functionality of supercomputers.
• Review and write incident postmortems and present insights that drive changes to reduce or eliminate incidents.
• Independently improve troubleshooting guides, wikis, tests, and telemetry, adding comprehensive observability and monitoring capabilities.
• Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of supercomputers.

• 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.