Staff Engineer, 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.

Candidate Profile

• 10+ years of experience in data management systems


• Proficient in modern programming languages and techniques


• Eager to impact and envision the technological future of a complex system


• Experienced in developing distributed systems, cloud services and SaaS products


• Experienced in designing and maintaining search platforms or distributed databases is preferred but not required


• Experienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not required

Position Expectations

• Be directly responsible for delivering on goals which span a 6-18 month timeframe


• Play a key role in defining the roadmap for the next 12 months


• Build and design our integrated search platform, written in Java


• Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction


• Advise management on decisions related to roadmap, processes, architecture and design


• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives


• Influence and grow team members through active mentoring, coaching and leading by example


• Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing

Success Measures

• In 3 months, you'll contribute to the improvement of our core "mongot" and Mongo Management Service repos


• In 6 months, you'll be working on features to build out new infrastructure for Atlas Search


• In 12 months, you'll be building POCs, designing new features, and collaborating with other teams on complex projects

About MongoDB

MongoDB 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. MongoDB’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, MongoDB 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 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.

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: 2263199619