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. The Databases organization delivers trusted, scalable operational AI ready databases that power application development across cloud, hybrid, and on premises environments. Our portfolio includes SQL, Azure Cosmos DB, DocumentDB, PostgreSQL, and MySQL, supporting developers as they build AI native applications and run critical workloads at global scale. We work on models, agents and indexing infrastructure for semantic retrieval and memories. Among other things, we developed DiskANN (github.com/Microsoft/DiskANN), the vector engine used across Microsoft and broadly in industry. We develop cutting edge models for semantic retrieval quality across modalities, agents for semantic retrieval and memories. We are a small team with a lot of freedom in setting technical direction and drive cross-company projects with large scope and own outcomes. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
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Job Type
Full-time
Career Level
Senior