Software Engineer II

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 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. Microsoft’s India Development Center (IDC) is a key driver of innovation for Azure Data, SQL, and AI-powered services. As a Software Engineer II, you will build and operate large-scale, distributed systems that enable intelligent data-driven applications and next-generation technologies. In this role engineers take end-to-end ownership of features and subsystems, contribute to system design, and influence technical decisions within their team scope. You will work on Azure Data platforms (SQL) and increasingly on AI-native systems, including agentic AI architectures, helping Microsoft’s Data + AI ecosystem. 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. Responsibilities include designing, building, and releasing scalable and reliable products and cloud services around the database platform that has the largest footprint in the world across cloud and on-premises. The role also involves contributing to building AI-enabled features and services to enable AI-powered scenarios in SQL ecosystem end-to-end, identifying opportunities for automation and AI-driven efficiency, ensuring strong adherence to data security, compliance, and governance, while driving improvements in service health, latency, and availability.

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