MongoDB Senior Staff Engineer Query Optimization 

United States 

834849372

We have an office presence across the US and Europe including New York, Dublin, Seattle, and Palo Alto. We support office-based and remote work.

One of the unique challenges is to provide a world-class query experience for modern applications developers, who need to combine structural predicates, aggregation functions, and search/vector search components in one query, which requires innovations for new optimization techniques on top of the state of the art.

• 15+ years of experience in data management systems, including extensive experience in query optimization
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality. Extensive coding knowledge of C++ is preferred or another system level language is required
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the domain
• Leadership qualifies to communicate effectively and thrive in a highly collaborative teamwork environment

• 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 the industry trends to provide technical vision and direction
• Set initiative level strategy, architect plan and lead 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
• Extend influence to Engineering organization in forming product vision, long-term roadmap and proposing changes to engineering practices
• Influence and grow team members through active mentoring, coaching and leading by example

• In three months you’ll have learned the query optimization component at a sufficient level of detail to write small enhancements or make bug fixes for the system
• In six months, you’ll have developed enough code knowledge to take 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; And you will have started to collaborate with teams outside Query to extend your organizational influence