Senior Software Engineer

The Azure Compute team builds a fault-tolerant, distributed system on top of commodity datacenter hardware to deliver infrastructure for hosting cloud applications in virtual machines (VMs). The team creates the illusion that resources are limitless, infinitely elastic, and always available. This role is in the Availability Platform team within Azure Compute, which focuses on ensuring every Azure virtual machine achieves a Service Level Agreement (SLA) of 99.99 percent or higher. Meeting this target requires innovative thinking, data-driven decisions, and intelligent automation. The team owns services that monitor the health of millions of Azure machines and the control plane services that make all repair decisions. We use artificial intelligence (AI) and machine learning to build predictive failure models that proactively live-migrate virtual machines before failures occur, minimizing customer impact and improving platform resilience. We are also exploring the use of generative artificial intelligence to enhance diagnostics, automate root cause analysis, and accelerate incident resolution. Our collaboration with data scientists and AI researchers enables us to continuously evolve our platform with smarter, self-healing capabilities. As a Software Engineer, you will join a team that emphasizes comprehensive designs, incremental development with high quality, frequent shipping, and rapid adaptation to customer feedback. This role offers hands-on experience with services architecture at hyperscale while pushing the boundaries of scale, reliability, availability, and efficiency.