Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.
We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone.
We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.
Candidate Profile
- 10+ years of experience in data management systems
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain
Position Expectations
- Innovate in the area of flexible schema databases. Help us build a world-class query optimization system
- Research state-of-the art query systems to inform our design
- Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction
- Set initiative level strategy, architect plans, and lead the team towards successful execution
- Advise management on decisions related to roadmap, processes, architecture and design
- Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools
- Work with other engineers to coordinate seamless changes in a feature-rich, large code base
- Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
- Influence and grow team members through active mentoring, coaching and leading by example
Success Measures
- In three months you’ll have contributed to the development of