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 MongoDB'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 MongoDB, Node.js, TypeScript/JavaScript, and React
• Hands-on experience with unit testing (Cypress, Jest, Playwright, etc.)
• Familiarity with CI/CD pipelines, monitoring tools, and cloud infrastructure (AWS/Google Cloud Platform/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 TechDocs
• 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

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID:

MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB's base salary range for this role in the U.S. is:

$101,000-$198,000 USD