MongoDB Senior Staff Engineer Query Optimization 

United States, New York, New York 

800153918

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