Lead deep work on PostgreSQL internals (index access methods, operator classes) to design, implement and evolve indexing strategies for largescale unstructured / semi-structured data. Extend PostgreSQL's query engine by analyzing execution plans, introducing BSON aware operators, custom scan nodes and new cursor/continuation semantics to match NoSQL query needs and ensure efficient execution at scale. Design and tune index pruning strategies that keep large tables and indexes lean without regressing query performance. Collaborate across the PostgreSQL, MongoDB, and Linux Foundation hosted DocumentDB communities to share vision, align on roadmap priorities, and contribute features that advance the open source DocumentDB engine. Profile and analyze distributed system to identify performance bottlenecks. Conduct and participate in design/code reviews and help shape and steer the team coding guidelines. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Experience with internals of PostgreSQL or similar Enterprise Database Management system, including Storage Engine and High Availability. Experience building Distributed Systems with strong guarantees. 2+ years of experience in designing, developing and shipping system level features in a large-scale cloud application or a backend distributed system. 2+ years of experience developing and maintaining high-performance libraries or software engineering with a focus on large distributed systems involving concurrency, storage systems or databases.

Microsoft