Software Engineer 2 - Capacity Optimization

Azure is Microsoft’s central cloud infrastructure that supports public cloud services and many Microsoft-internal cloud scale systems. Cloud computing is a competitive and rapidly expanding industry, and Azure aims to lead across all key areas of its platform and services. Within Azure, the Azure Compute team provides core infrastructure capabilities for hosting virtual machines, containers, and other workloads. A foundational discipline in cloud computing is capacity management. Effective capacity management ensures that all regions, allocation domains, and hardware platforms have the resources needed to meet customer demand, while also preventing unnecessary spending and reducing cost of goods sold (COGS) and capital expenditures (CAPEX). At Azure’s scale, balancing these priorities across the entire Azure Compute fleet is highly complex, and improvements can prevent allocation issues while enabling significant cost savings. The Azure Compute Capacity and Efficiency team, also known as AC2E, is responsible for end-to-end capacity and efficiency management across the fleet. The team builds a fully automated, optimized tracking and management system, with the Capacity Management Automation System (CMAS) as a core component. These systems use advanced algorithms and apply artificial intelligence to predict capacity risks and trigger appropriate mitigation actions within the Azure Compute platform. Team members work across engineering, program management, and data science to define business problems, design solutions, and contribute to strategic decisions that influence Azure Compute’s capacity and efficiency.