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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.
Job Responsibility:
Lead the design and development of AI Store capabilities in Azure PostgreSQL, including vector search, semantic indexing, and AI-optimized database features to power the next generation of intelligent applications
Architect intuitive, scalable APIs, SDKs, and extensibility layers that bring advanced database and AI capabilities into the hands of developers
Create seamless developer experiences by integrating PostgreSQL services with modern development tools, frameworks, and cloud platforms accelerating application development on Azure PostgreSQL
Partner closely with database engine engineers, product managers, and developer advocates to translate developer needs into deep system and platform innovations
Design and deliver high-quality interfaces, SDKs, samples, and documentation that make building AI-powered applications on PostgreSQL accessible, powerful, and joyful
Engage with open-source communities, technology partners, and developer ecosystems to amplify impact, gather feedback, and inform platform evolution
Champion a developer-first mindset while advancing technical excellence, scalability, and innovation across the stack from database internals to developer workflows
Requirements:
Bachelor’s degree in computer science or a related technical discipline (or equivalent practical experience)
4+ years of professional software engineering experience
Proficiency in programming languages such as C, C++, C#, Java, or Python
Proven experience designing and delivering scalable, production-grade services, APIs, or developer platforms
Strong technical fundamentals in distributed systems, concurrency, cloud-native architecture, or database internals
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Passion for building outstanding developer experiences and empathy for developer workflows
Experience with database systems (PostgreSQL or others), indexing, or AI/ML-driven data access patterns
Familiarity with cloud platforms (Azure, AWS, GCP) and open-source communities
Commitment to continuous learning, innovation, and building an inclusive, high-performing engineering culture
Growth mindset and a desire to contribute, learn, and collaborate in a fast-paced environment