Overview: 

Microsoft Azure SQL DB is a leader in managed relational database business and we are growing rapidly. We are operating hundreds of thousands of servers worldwide with millions of databases in over 40 regions. In the past few years Azure SQL DB brought revolutionary capabilities to the market that span database insights, auditing, performance optimization, encryption, accidental and disaster recovery, regional fault tolerance as well as a spectrum of features that deeper integrate with Azure platform providing truly end-to-end solutions. Our team pushes the limits of technology to exceed requirements of the most demanding data applications in the industry. 

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 bold and ambitious vision. We are looking for a passionate, motivated and experienced engineer with strong 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.  

Candidate should have: 

• Good analytical skills and learn quickly 

• Passion to pursue inefficiencies and bugs across software layers and organizational boundaries 

• Ability to navigate ambiguity and deliver results in fast-paced environment