Overview Storage, the core of Microsoft's Azure Cloud, provides 10 exabytes of capacity across 50 regions, 100 data centers, and over 1000 storage clusters. It powers millions of virtual machines, holds millions of hours of video, billions of photos, and vast amounts of analytics data. As a Software Engineer in Azure Storage, you will play a key role in defining the technical direction of the most complex pieces of Azure Storage, while delivering continued improvements as well as pathbreaking features at a high quality. In addition, you will work on the latest server technologies and highly distributed systems, with a focus on reliability, scalability, performance, consistency and debuggability. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Collaborates with appropriate stakeholders to determine user requirements for a scenario. Drives identification of dependencies and the development of design documents for a product, application, service, or platform. Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items. Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.