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Software Engineer , Atlas Search Systems

Job in Toronto, Ontario, M5A, Canada
Listing for: MongoDB
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Backend Developer, DevOps
Job Description & How to Apply Below
Position: Software Engineer 3, Atlas Search Systems

is a multi-cloud service that allows users to execute complex full text and vector search queries using the . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.

Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to.

This role is based in Toronto, ON hybrid.

Successful candidates will have the following qualities:

  • 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
  • Experience developing distributed systems and cloud services
  • Experience with at least one modern statically typed programming language, and interest in working with Java
  • Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues
  • A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback
  • A strong sense of ownership over their work, from initial design all the way through maintaining code in production
  • You will:

  • Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads
  • Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers
  • Have the opportunity to lead projects and own subsystems
  • Provide input on the team’s roadmap and help determine the architecture of our system
  • Success measures:

  • In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes
  • In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings
  • In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes
  • About 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 over 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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