Advance the performance, reliability, and scalability of PostgreSQL in the cloud for Azure PostgreSQL to deliver robust best-in-class cloud database systems for demanding workloads.
Requirements
- Technical fundamentals in distributed systems, concurrency, cloud-native architecture, or database internals.
- 2+ year(s) of professional or academic experience in database systems internals.
- 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.
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.
Other
- Doctorate (or currently pursuing) in relevant field, + OR equivalent experience.
- 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.
