Staff Engineer, Distributed Query Optimization (Remote)

MongoDB; United States; Remote; USD 151,000 - 297,000; Full time

Benefits offered by this job

Remote work

Job summary

MongoDB is seeking a senior backend engineer to join the Server Query Optimization team. You will help design and rewrite core optimization and execution components of a distributed document database, with a focus on scalable query planning and performance across multiple backends.

The role can be based in US offices or remotely in North America, with alignment to time zones for productive collaboration. Candidates should have 10+ years in data systems and a strong foundation in algorithms and

Qualifications

• 10+ years of experience in data management or distributed systems with large-scale backend engineering.
• Experience building production-level code with robust design and high-quality standards.
• Degree or equivalent experience with strong data structures and algorithms.

Responsibilities

• Innovate in flexible schema databases and build a world-class query optimization system.
• Research state-of-the-art query systems to inform design decisions.
• Provide technical vision and direction; set initiative level strategy and architect plans.
• Lead the team towards successful execution and drive feature development for query performance.
• Collaborate with management on roadmaps, processes, and architectural designs.
• Coordinate changes with other engineers and teams across products and tools.

Skills

Distributed systems

Backend engineering

C++ programming

Performance optimization

Code quality

Education

Bachelor's degree in Computer Science or equivalent

Tools

C++

Job description

MongoDB is seeking a senior backend engineer to join the Server Query Optimization team. You will help design and rewrite core optimization and execution components of a distributed document database, with a focus on scalable query planning and performance across multiple backends.

The role can be based in US offices or remotely in North America, with alignment to time zones for productive collaboration. Candidates should have 10+ years in data systems and a strong foundation in algorithms and