Staff Software Engineer - Query Execution

MongoDB is a leading provider of distributed databases, and they are seeking a Staff Software Engineer to join their Query Execution team. This role involves building and improving the core execution engine for MongoDB's data processing, focusing on performance and efficiency across various products.

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