Software Engineer II

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Large enterprises and SaaS providers are migrating to Microsoft Azure bringing large volume of data and manageability requirements. Azure SQL DB Control Plane is processing billions of REST API calls every month with predictable SLA and 100% consistency, tolerating underlying system failures, software and hardware upgrades and reconfiguration. It orchestrates complex workflows spanning multiple services in Azure and within Azure SQL DB clusters. Customers expect 100% availability and instant elasticity of databases that scale up and down with demand regardless of their size. Azure SQL DB Control Plane has a bold and ambitious vision. We are looking for an experienced Software Engineer II with design skills to join the team. You will have an opportunity to shape and build the next generation of Control Plane platform designed for 100x customer and request volume growth, create new technology that enables placement and optimal capacity utilization within a cluster and a region, design and implement solution for management at massive scale for large customers, mine insights from telemetry and behavior of large distributed systems, learn and contribute to design of service software stack, datacenter design and network topology.