Software Engineer , Developer Productivity; Backstage

Position: Software Engineer 3 (SE3), Developer Productivity (Backstage)
What you will get to do
As a Software Engineer 3 (SE3) 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 writing clean and maintainable code, and implementing features based on architectural guidance.

Our Ideal Candidate Will Have

2-4 years of professional software engineer experience with a strong focus on fullstack development

Experience building scalable, modern web applications using Mongo

DB, Node.js, Type Script/JavaScript, and React

Hands‑on experience with unit testing (Cypress, Jest, Playwright, etc.)

Familiarity with 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 contributing to the design of scalable systems

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

What makes you stand out?

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

Interview process
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. It is imperative that candidates demonstrate a high level of technical expertise and experience in the live sessions; otherwise, they will be disqualified.

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 proposing and implementing enhancements to the technical architecture and tech stack, and contributing to the technical roadmaps for the teams

In 12 months, you are successfully onboarding new engineers and serving as a technical resource for peers

About MongoDB
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. Mongo

DB’s 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.

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…