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Software Engineer - PostgreSQL for AI Workloads

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Microsoft Corporation

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Location:
Spain , Barcelona

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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 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 and full-text indexing, hybrid search patterns, 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.

Job Responsibility:

  • Design and implement AI-native capabilities in PostgreSQL, including vector indexing, semantic and full-text search operators, hybrid search patterns, and graph query features
  • Own or contribute to the design and implementation of major AI-native subsystems, from early technical exploration through production readiness, with guidance from senior engineers as appropriate
  • Build and enhance high-performance PostgreSQL extensions and core engine integrations using C, C++, or Rust, with a strong focus on performance, correctness, and maintainability
  • Contribute to end-to-end development, including performance analysis, debugging, tuning, operability, and service integration in cloud database environments
  • Work effectively in high-ambiguity problem spaces, evaluating technical tradeoffs through experimentation as patterns and best practices emerge
  • Collaborate closely with senior engineers, product managers, and AI researchers to translate requirements into scalable, intuitive, and reliable systems
  • Participate actively in technical design discussions, code reviews, and the evolution of engineering standards, while deepening understanding of PostgreSQL internals and systems design
  • Help shape the developer experience through APIs, control plane integration, and extensibility mechanisms
  • Learn, apply, and promote best practices for building reliable, observable, and operable systems in a production cloud database service
  • Stay informed and curious about research and industry trends in databases, search systems, graph systems, and AI-powered data platforms.

Requirements:

  • Bachelor's Degree in Computer Science or related technical field AND equivalent technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Proven technical engineering capabilities 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
  • 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:

  • 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

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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