Senior Fullstack Developer, Developer Productivity; Backstage
Listed on 2026-03-01
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Software Development
Cloud Engineer - Software, Full Stack Developer, Software Engineer, Backend Developer
Location: Quebec
As a Senior Fullstack Developer on the Developer Productivity - Developer Experience team, you will design and build scalable features for Mongo
DB’s Internal Developer Portal using Backstage. You’ll collaborate closely with product, design, and engineering teams to improve developer workflows and internal tooling. The role involves contributing to architectural decisions, writing clean and maintainable code, and promoting best practices.
This role can be based remotely in Canada.
Our ideal candidate will have- 6+ years of professional software engineer experience with a strong focus on fullstack development
- Hands-on experience with unit testing (Cypress, Jest, Playwright, etc.)
- Experience integrating CI/CD pipelines, monitoring tools, and cloud infrastructure (AWS/GCP/Azure)
- Hands-on experience leveraging Kubernetes, Helm, and modern infrastructure-as-code tools
- Solid understanding of API Integrations and other kinds of service discovery mechanisms to build/maintain a robust service catalog
- Experience working within distributed systems and have designed highly-scalable systems across various projects
- Demonstrate sound engineering practices like continuous delivery and automated testing
- You have impact through your communication skills and can successfully partner with different engineering teams across domains such as product developers, platforms engineers and SREs, etc.
- Comfortable writing and reviewing technical design documents and specifications
- Hands-on experience working with Backstage (by Spotify), including platform extensions, portal management, and integrating various systems and tools to make them available to end users
- Deep understanding of the Backstage architecture, including plugin development, software catalog, scaffolder, and Tech Docs
- Bonus points if you have experience in using and applying large language models;
Experience with AI application development is a plus
Upon successfully passing the preliminary screenings, candidates will be invited to participate in live coding assessments, followed by a system design evaluation, to determine the alignment of their technical proficiencies with the requirements of the role.
Success measures- In 3 months, you've gained a deep understanding of the Developer Productivity team ecosystem and build and deployment workflows
- In 6 months, you are successfully contributing to our projects, including deploying code to production and taking on troubleshooting issues and resolving bugs
- In 9 months, you are successfully leading aspects of the technical architecture and enhancement of our tech stack, and technical roadmaps for the teams
- In 12 months, you are successfully contributing to mentoring and growing other team members
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 nearly 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 Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us Mongo
DB.
Mongo
DB 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.
Mongo
DB is an equal opportunities employer.
Mongo
DB’s base salary range for this role in Canada is:
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