Software Engineer, Query
Job in
Toronto, Ontario, M5A, Canada
Listing for:
MongoDB
Full Time
position
Listed on 2026-01-13
Job specializations:
-
Software Development
Software Engineer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Staff Software Engineer, Query
Join the Mongo
DB Server Query Integration team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the experience and performance of data processing. We are responsible for building user-facing features on top of the core query engine and helping to integrate query with other products in the Mongo
DB 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.
We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, lexical and vector search and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.
We are looking to speak to candidates who are based in the United States or Canada for our hybrid working model.
Candidate Profile
10+ years of experience in data management systemsExperience with building production-level code with a large user base, robust design structure and rigorous code qualityDegree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architectureExperience 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 systemPassion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domainPosition Expectations
Be directly responsible for delivering on goals which span a 6-18 month timeframePlay a key role in defining the roadmap for the next 12 monthsWrite well tested, production-ready code in C++ (our test infrastructure also leverages Python and Javascript)Research state-of-the art query systems to inform our designLeverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and directionAdvise management on decisions related to roadmap, processes, architecture and designCollaborate with stakeholders and engineering teams across the company to jointly work on large initiativesInfluence and grow team members through active mentoring, coaching and leading by exampleHelp cultivate a strong talent bench through interviewing, mentoring and knowledge sharingSuccess 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;
You'll have learned about Mongo
DB's project lifecycle, and our long-term goals for the systemIn six months, you’ll have taken 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 systemsIn 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 Mongo
DB Query teamAbout MongoDB
Mongo
DB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. Mongo
DB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, Mongo
DB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on Mongo
DB for their most important applications, we’re powering the next era of software.
Our compass at Mongo
DB is our guiding how and why we make decisions, show up for each other, and win. It’s what makes us Mongo
DB.
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