Staff Software Engineer - Query Execution

MongoDB is a leading company that empowers customers to innovate at market speed through its unified database platform. The Staff Software Engineer - Query Execution will play a key role in developing and improving the core execution engine, focusing on high-performance query execution and collaborating with a globally distributed team.

Responsibilities:

• Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
• Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility, co-ordinating initiative-level strategy and personally writing well-tested, production-ready C++ code
• Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
• Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing

Requirements:

• 10+ years of hands-on, professional experience in query engine development or database internals
• 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
• Proven track record of technical leadership: demonstrated ability to define and drive roadmaps for a component over the medium term
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain