MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
The database market is massive (IDC estimates it to be $138B+ by 2026!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
The Query Integration team is focused on building user-facing features on top of the core query engine and helping to integrate query with other products in the MongoDB ecosystem. This includes enhancing our time-series product, extending language support for analytics, helping grow our Atlas Search and Vector Search products with database support and adding workload telemetry to provide greater insight into how our database is used. Most of our development is in C++, but prior experience in C++ is not required. Our testing infrastructure is written in JavaScript and Python.
This role will be based remotely in Canada.
Candidate Profile
- 4+ years of experience in data management systems
- Hands-on experience building industrial-strength software
- Solid computer science fundamentals, with strong competencies in data structures,
algorithms, and software design/architecture - Experience with large code bases, preferably in C++
- B.Sc. in Computer Science or similar field, or equivalent practical experience
- Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus
Position Expectations
- Understand and improve current functionality of the MongoDB query engine
- Contribute high quality C++ code and give and solicit feedback in code reviews
- Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools
- Work constructively with peers to deliver excellent technical solutions
Success Measures
- In three months you’ll have contributed 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
- In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently
- In twelve months, you’re contributing to the design of major new features and are helping to mentor new engineers on the team
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 is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4253032677
