Staff Engineer, Search Systems
Job in
Toronto, Ontario, M5A, Canada
Listing for:
MongoDB
Full Time
position
Listed on 2026-01-13
Job specializations:
-
Software Development
Cloud Engineer - Software, Software Engineer, Backend Developer
Job Description & How to Apply Below
Mongo
DB Search and Vector Search allows users to execute complex search queries and build RAG applications using the Mongo
DB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
We are looking to speak to candidates who are based in Toronto for our hybrid working model.
Candidate Profile
10+ years of experience in data management systemsProficient in modern programming languages and techniquesEager to impact and envision the technological future of a complex systemExperienced in developing distributed systems, cloud services and SaaS productsExperienced in designing and maintaining search platforms or distributed databases is preferred but not requiredExperienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not requiredPosition 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 monthsBuild and design our integrated search platform, written in JavaLeverage 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 3 months, you'll contribute to the improvement of our core "mongot" and Mongo Management Service reposIn 6 months, you'll be working on features to build out new infrastructure for Atlas SearchIn 12 months, you'll be building POCs, designing new features, and collaborating with other teams on complex projectsAbout 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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