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Staff Engineer (Query Optimization)

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Onsite

Staff Engineer (Query Optimization)

MongoDB

Staff Engineer (Query Optimization)

2 months ago

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Important information


Contract type:

Permanent

Salary:

$151,000 – $297,000 / year

Location:

United States

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • 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 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
  • 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 and partner with management on roadmap decisions, processes, and architectural designs
  • 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
  • In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You’ll have learned about MongoDB’s project lifecycle, and our long-term goals for the system
  • In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team’s horizons by presenting a favorite paper or system architecture related to query systems
  • In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
  • 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
  • Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
  • A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems
  • 10+ years of experience in data management systems, distributed systems, or large-scale backend engineering

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