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 messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications. Within Azure Data Fabric, come join the Azure Monitor Application Insights team and help build the best services and experiences for developers to monitor their GenAI applications! This is a rare opportunity to shape a frontier area: observability for LLM-powered systems where engineering teams need answers like “Why did the agent choose that tool?”, “Which step caused the regression?”, “What drove token cost up?”, and “Did the system actually meet user intent?” As a Principal Software Engineer, you’ll lead architecture and execution across experiences and platform capabilities—from instrumentation patterns to large-scale data pipelines to developer-facing insights. You’ll work across partner teams and customer scenarios to define what “great” looks like for GenAI observability, then drive it into production with the engineering rigor Azure demands: reliability, performance, privacy, security, and operational excellence at global scale.
