Staff Software Engineer, Query (Optimization)

Candidate Profile

10+ years of experience in data management systems
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.

Position Expectations

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 of industry trends to provide technical vision and direction
Set initiative level strategy, architect plans, and lead the team towards successful execution
Advisory 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
Work with other engineers to coordinate seamless changes in a feature-rich, large code base
Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
Influence and grow team members through active mentoring, coaching and leading by example

Success Measures

• Contribute to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series
• Learn about MongoDB's project lifecycle, and our long-term goals for the system
• Take on code review responsibilities and are playing an active role in drafting and reviewing the design for new features
• Expand the team's horizons by presenting a favorite paper or system architecture related to query systems
• Contribute to the long-term technical roadmap of the MongoDB Query team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB’s Base Salary Range

MongoDB’s base salary range for this role in the U.S. is: $151,000—$297,000 USD