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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 Software Engineer II to design and build foundational systems that enable intelligent applications to run directly inside PostgreSQL with performance, reliability, and scale.
Job Responsibility:
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
Embody our culture and values
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Nice to have:
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
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
Problem-solving and communication skills with a collaborative, growth-oriented mindset
Commitment to learning, innovation, and inclusive engineering culture