Job Description
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. Azure DocumentDB is a fully managed, open source, MongoDB compatible document database service designed for modern, cloud native applications. Built on the open source DocumentDB engine and backed by the power of Azure, it delivers predictable low latency performance, flexible data modeling and seamless horizontal, vertical, and storage scaling. We are hiring a senior software engineer with deep expertise in database internals and systems design to help extend PostgreSQL to power large scale document workloads. As part of the DocumentDB engine team, you will design and develop foundational features across the query, indexing subsystem and storage layer to power mission critical workloads running on Azure.
