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Senior Software Engineer, Frontend and AI

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Join the DevProd Team

The Developer Productivity team empowers more than a thousand engineers across MongoDB through our continuous integration system, Evergreen. Evergreen runs 300 million tests across 400 thousand hosts per day, keeping engineers moving quickly and confidently. You’ll be working on Spruce, our frontend interface for Evergreen, and Parsley, our high-performance log viewer. Spruce helps engineers visualize data and evaluate CI builds, while Parsley can smoothly render gigabytes of log data directly in the browser.

We’re also investing in Sage, a specialized backend service for building AI agents to help engineers debug tasks. Written in TypeScript, Sage is part of our push to bring AI-powered tooling to the heart of our developer productivity ecosystem.

You’ll be joining a team of talented engineers who are passionate about building reliable, scalable, and cutting-edge tools. The products you work on — Spruce, Parsley, and Sage — are used daily by over 1 thousand engineers at MongoDB to build and ship the features our customers rely on.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

What You’ll Do

  • Design, build, and optimize web applications in React, GraphQL, and TypeScript, focusing on performance and user experience
  • Lead development on Spruce and Parsley, delivering data-rich, highly interactive experiences that scale to massive CI workloads
  • Collaborate with backend engineers working in Go and TypeScript to build seamless integrations between frontend and backend services
  • Contribute to Sage, developing AI-powered agentic flows that help engineers debug tasks more effectively
  • Ensure best practices in testing (Cypress), monitoring, and reliability
  • Mentor team members and help shape the technical and cultural direction of our team

What You Bring to the Table

  • 5+ years of strong experience in React and TypeScript
  • Experience working with backend systems (experience in a statically typed compiled language like Go is a plus)
  • Interest in developing agentic services and working with AI-powered developer tooling
  • Track record of designing and implementing performant, large-scale web apps
  • Familiarity with end-to-end testing frameworks such as Cypress or playwright
  • Strong fundamentals in software engineering, including algorithms, data structures, and systems design
  • Ability to thrive in environments with high impact and uncertainty, driving projects from 0→1 and beyond

Success Measures

  • In three months, you’ll have contributed to Spruce or Parsley, shipping improvements in performance or user experience. You’ll understand the architecture and be in discussions about Sage’s AI-driven services
  • In six months, you’ll have led development on a substantial feature in Spruce or Parsley, and contributed to Sage’s AI agentic workflows. You’ll be recognized as a go-to person for frontend performance and developer experience
  • In twelve months, you’ll be initiating and leading projects that shape the future of developer productivity at MongoDB, across frontend, log analysis, and AI agentic services. You’ll mentor teammates and influence architectural direction on new greenfield projects.

Why This Role is Exciting

This is an opportunity to sit at the intersection of frontend engineering, large-scale developer productivity systems, and emerging AI tooling. You’ll work on products used daily by hundreds of engineers, collaborate with a team of talented peers, and help build the next generation of AI-assisted debugging experiences.

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: 3263266626

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:
$118,000$231,000 USD

Average salary estimate

$174500 / YEARLY (est.)
min
max
$118000K
$231000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, hybrid
DATE POSTED
October 9, 2025
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