MongoDB
The MongoDB Storage Execution team is part of the Online Transaction Processing (OLTP) team, and its mission is to research and develop new algorithms for efficient storage and retrieval of data, and provide a comprehensive framework for managing concurrent, transactional access to data stored within a MongoDB database instance.
Our team champions a strong culture of inclusivity, diversity, and collaboration. As a team member, you will contribute to crafting and maintaining the nexus of the different server components, connecting its query system and distributed replication system to its underlying storage engines. Ongoing work includes improvements to our time series support, transaction management, indexing algorithms, scaling the code base, and improving resilience and availability for the server.
This role will be based in our New York City office.
Candidate Profile
- Experience with building industrial-strength software projects with a large user base, robust designs, a high level of code quality, and collaborative software development processes
- Degree in Computer Science or similar field, or equivalent practical experience, with strong proficiency in data structures, algorithms, concurrency, and software design/architecture
- Interest in the theory and practice of database internals
- At least 5 years of experience in programming, debugging, and performance tuning for distributed and/or highly concurrent software systems
- Professional or advanced academic expertise in the domain of distributed systems is helpful, but not required
Position Expectations
- Collabo