​​Are you passionate about advancing database systems to support the next generation of AI-powered applications? Do you thrive on building core infrastructure like vector indexing, semantic search, and graph-aware query engines inside a trusted open-source database? Join us as we extend PostgreSQL to natively support AI workloads, combining deep systems engineering with meaningful developer impact. 
The Azure PostgreSQL team is building advanced, cloud-native capabilities that extend PostgreSQL into a trusted platform for AI workloads. This includes native support for vector search, semantic indexing, graph queries, and in-database model integration. We are looking for a Senior Engineer to design and build foundational systems that enable intelligent applications to run directly inside PostgreSQL with performance, reliability, and scale. 
This is a high-impact individual contributor role where you will collaborate with experienced engineers, contribute to core infrastructure, and help shape the developer experience for AI-powered applications built on PostgreSQL. 

​​

We are a fast-moving, collaborative team focused on extending PostgreSQL to support AI workloads natively. Our work includes vector indexing, semantic query processing, graph data models, and model-aware execution capabilities, all built directly on top of the PostgreSQL engine. We operate at the intersection of distributed systems, database internals, and AI infrastructure, with a strong emphasis on technical rigor and real-world impact. Our culture values curiosity, deep systems thinking, and inclusive collaboration. We believe the best ideas emerge from engineering craftsmanship, open experimentation, and a shared commitment to excellence. 
 
Responsibilities 
• Design and implement AI-native capabilities in PostgreSQL including vector indexing, semantic search operators, and graph query features 
• Build high-performance extensions and core engine integrations in C, C++, or Rust 
• Collaborate with senior engineers, product teams, and AI researchers to deliver scalable and intuitive capabilities 
• Contribute to end-to-end development, including performance tuning, operability, and service integration 
• Participate in code reviews, technical design discussions, and the evolution of engineering standards 
• Help shape developer experience through APIs, control plane integration, and extensibility 
• Stay informed on research and industry trends in AI indexing, graph systems, and database-AI convergence 
 
Why Join Us 
• Impact: Shape how developers build AI-powered applications by evolving one of the world’s most trusted open-source databases to support vector search, semantic indexing, graph queries, and model integration. 
• Innovation: Work on technically challenging problems at the forefront of databases, distributed systems, and AI infrastructure. 
• Growth: Deepen your expertise in database systems, learn from experienced engineers, and contribute to a critical area of innovation in Azure and AI. 
• Community: Join a team that values deep systems thinking, open collaboration, and inclusive engineering. We care about learning, craftsmanship, and building durable technology that m

Required Qualifications 
• Bachelor’s degree in Computer Science, Engineering, or related technical field 
AND 
Significant experience in systems-level engineering, including work on database engines, distributed systems, or backend infrastructure 
• Proficiency in one or more systems programming languages such as C, C++, or Rust 
• Experience working with PostgreSQL or similar engines at the extension, indexing, or query execution level 
• Demonstrated ability to design and deliver reliable, performant systems in a collaborative environment 

​Preferred Qualifications 
• Experience implementing vector indexes, ANN search algorithms, or semantic retrieval systems 
• Interest or experience in graph data models or graph-aware query execution 
• Familiarity with embedding workflows, model integration, or retrieval-augmented generation patterns 
• Prior contributions to open-source databases, search engines, or AI infrastructure projects 
• Strong problem-solving and communication skills with a collaborative, growth-oriented mindset 
• Commitment to learning, innovation, and inclusive engineering culture

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.