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 Microsoft Fabric, the Real-Time Intelligence team enables organizations to act on data as it happens. By combining real-time ingestion, streaming, event processing, and observability signals, the team delivers capabilities that help customers detect patterns, respond to events, and drive immediate action. These experiences are tightly integrated into Fabric to support modern applications and operational decision-making in real time. If you are looking for a team that delivers software of the highest quality, running in a fleet of millions of vCores, following practices that minimize changes of bugs, if you value writing requirements, unit tests, being on the bleeding edge of using new languages like Rust and using AI to drive development? - then this is the team for you! The local store team, part of Azure Messaging develops critical microservices that power services like Azure Event Hubs, Service Bus and Event Grid. The team develops systems software that interacts closely with the OS and with Service Fabric. In this role, you would be driving innovation and efficiency in microservices that store the user's data for the Messaging services and replicate is as appropriate. The day-to-day work involves not only designing, implementing and maintaining features for these critical microservices, but also driving AI adoption and finding new and innovative ways of using AI to make software development even more robust and efficient. 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
Principal