Software Engineer II AI Platform Development (Azure PostgreSQL)
Microsoft Corporation - Redmond, Washington, United States, 98052
Work at Microsoft Corporation
Overview
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Overview
Are you an engineer eager to deepen your expertise in the inner workings of large-scale database systems? Are you excited to learn from experienced mentors, contribute to core platform code, and help advance the performance, reliability, and scalability of PostgreSQL in the cloud? We are looking for a Software Engineer II who is curious, driven, and ready to make an impact on how Azure PostgreSQL delivers robust best in class cloud database systems for demanding workloads. This is a high-impact opportunity to shape foundational systems and features that underpin applications and services for developers worldwide. About the team: We are a fast-growing, highly collaborative team dedicated to advancing the capabilities of modern database systems and empowering developers through deep technical innovation. Our work covers essential areas of database systems internals, including storage architecture, memory management, high-performance query processing, replication technologies, and robust distributed systems design. We believe that groundbreaking progress emerges at the intersection of rigorous systems engineering, thoughtful collaboration, and bold experimentation. Our inclusive, high-performing culture values diverse viewpoints, continuous technical growth, and an unwavering commitment to excellence that drives impactful results throughout the database technology landscape. Why this role is unique: Technical depth: Work at the intersection of research and production in one of the most technically demanding areas of cloud infrastructure: relational databases on a global scale. Mentorship and growth: You'll work alongside and learn from senior engineers and domain experts in distributed systems, databases, and cloud platforms. They'll mentor and support you as you build your skills, deepen your expertise, and grow into a trusted contributor to real-world systems. Impact and learning: Your work will ship to production and serve real users. You'll learn how world-class engineering teams operate and how to turn great ideas into durable, scalable systems. Community and culture: Be part of a collaborative, inclusive, and high-performing team that values intellectual curiosity, academic excellence, and real-world impact. Responsibilities: Drives the architecture and development of core PostgreSQL database internals including storage engines, transaction management, indexing strategies, and query optimization, to enhance performance, reliability, and scalability in cloud environments. Innovates on cloud-native PostgreSQL features such as automated scaling, high availability, multi-region deployments, distributed query processing, backup/restore. Collaborates closely with infrastructure and platform teams to optimize resource management, security, and cost efficiency for PostgreSQL services in Azure. Contributes high-quality code, technical documentation, and engineering best practices to the development and maintenance of cloud-native PostgreSQL, upholding reliability, scalability, and usability for developers and enterprise customers. Engages with the PostgreSQL open-source community and cloud-native ecosystem to align with industry advancements and continuously evolve the offering for next-generation workloads. Qualifications: Required qualifications: Doctorate (or currently pursuing) in relevant field, OR equivalent experience. Technical fundamentals in distributed systems, concurrency, cloud-native architecture, or database internals. 2+ year(s) of professional or academic experience in database systems internals. Other requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Preferred qualifications: Experience with high performance native software engineering with C, C++, or Rust. Past research or engineering projects in database internals areas, such as storage engines, transaction management, and query optimization. Familiarity with cloud platforms (Azure, AWS, GCP) and open-source communities.