Role Overview

Join MongoDB as a Senior Software Engineer, Search Systems in Toronto, Ontario, and become a key architect of the modern developer data platform powering AI innovation. MongoDB Search and Vector Search enable developers to execute complex search queries and build cutting-edge RAG (Retrieval-Augmented Generation) applications using the intuitive MongoDB Query Language. This hybrid role in Toronto lets you focus on relevance, data retrieval, and scalable search solutions without managing underlying infrastructure.

With MongoDB's unified database platform—the most widely available, globally distributed database—you'll empower nearly 60,000 customers, including 75% of the Fortune 100, to modernize legacy workloads and unleash AI capabilities. Work on MongoDB Atlas, the cloud-native, multi-cloud database spanning AWS, Google Cloud, and Microsoft Azure.

Key Responsibilities at MongoDB

• Design and build MongoDB's integrated search platform written in Java, optimizing for performance and scalability.
• Develop advanced Vector Search features to support RAG applications and semantic search at scale.
• Lead end-to-end projects, owning subsystems from conception to production deployment.
• Collaborate with cross-functional teams to shape the team's roadmap and system architecture.
• Review code, project designs, and actively participate in technical discussions and team meetings.
• Implement improvements, bug fixes, and optimizations that enhance search relevance and speed.
• Mentor junior engineers while driving excellence in code quality and engineering processes.
• Scale distributed systems to handle industrial-strength workloads for enterprise customers.
• Integrate NoSQL innovations with modern cloud services and SaaS products.

Qualifications & Requirements

• 5+ years of hands-on experience designing, building, testing, and maintaining backend software in complex, large-scale codebases.
• Proficiency in modern programming languages like Java, with expertise in backend development techniques.
• Strong background in distributed systems, cloud services (AWS, GCP, Azure), and SaaS product development.
• Excellent technical communication skills; passion for collaboration, mentoring, and knowledge sharing.
• Demonstrated growth mindset: thrive on challenges, reflect on outcomes, and incorporate feedback rapidly.
• Proven sense of ownership across the full lifecycle—from design to production maintenance.

Based in Toronto for our hybrid model, you'll join a collaborative team that builds systems customers love. Success milestones include contributing to projects in 3 months, active participation in 6 months, and leading initiatives by 12 months.

Salary & Benefits

MongoDB offers competitive compensation tailored to your experience, skills, and Toronto location. Base salary ranges reflect market standards for senior roles in Canada, plus comprehensive perks:

• Competitive Equity and Employee Stock Purchase Program participation.
• 20 weeks fully-paid parental leave (gender-neutral).
• RRSP with employer match, health, dental, vision coverage.
• MongoDB University for continuous learning in NoSQL, Atlas, and AI databases.
• Fertility assistance, mental health counseling, backup care services.
• Flexible PTO and wellness programs supporting work-life balance.

Why Join MongoDB?

MongoDB is built for change, redefining databases for the AI era. Our Leadership Commitment guides decisions, fostering innovation at market speed. With global offices and a supportive culture—including affinity groups and generous benefits—we prioritize employee growth and impact.

Power the next era of software for AI-native startups and Fortune 100 companies. Work on MongoDB Atlas, the leader in multi-cloud databases, and contribute to products that disrupt industries. Toronto's vibrant tech scene complements our hybrid model, offering collaboration with top talent.

Experience a workplace committed to wellbeing: from parental leave to mental health support, we're here for your professional and personal journey. MongoDB is an equal opportunity employer providing accommodations as needed.

How to Apply

Ready to shape the future of search systems at MongoDB? Apply now for this Toronto-based Senior Software Engineer role (Req ID: 3263277207). Submit your resume highlighting Java, distributed systems, and NoSQL experience. Join us to build scalable, customer-loved solutions on the world's leading developer data platform.

Keywords: MongoDB careers Toronto, Vector Search jobs, Java backend engineer, NoSQL search systems, RAG development roles.