Senior Software Engineer, Atlas Search Systems

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB 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.

• 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
• Proficient in modern programming languages and techniques
• Experienced in developing distributed systems, cloud services, and SaaS products
• Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers
• 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

• Build and design our integrated search platform, written in Java
• 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
• Lead projects and own subsystems
• Help determine the team’s roadmap and the architecture of our system

• In 3 months you’ll have contributed to the development of an existing project and completed several 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 the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes

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.

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB’s base salary range for this role in Canada is: