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:- 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
You will:- 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
Success measures:- 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's base salary range for this role in Canada is:
$158,000-$220,000 CAD
