Senior Engineer, R&D Developer Productivity

MongoDB; New York (NY); Hybrid; USD 118,000 - 231,000; Full time

Benefits offered by this job

Flexible paid time off

20 weeks fully-paid parental leave

Fertility assistance

Job summary

A leading database provider is looking for a Senior Engineer in New York City to enhance developer productivity by scaling their continuous integration systems. The ideal candidate will have proficiency in Go, strong computer science fundamentals, and cloud experience, particularly with Kubernetes. This position involves optimizing performance and reliability in a hybrid setting. Join an innovative team committed to fostering a collaborative and supportive culture, with competitive salaries and comprehensive benefits.

Qualifications

• Proficient in a statically typed, compiled language, primarily Go.
• Strong competencies in data structures, algorithms, and software design.
• Ability to identify performance bottlenecks.

Responsibilities

• Scale the continuous integration ecosystem.
• Support project owners by simplifying the testing process.
• Incorporate AI tooling to improve developer experience.

Skills

Proficient in Go

Strong computer science fundamentals

Experience in cloud environments

Familiar with Kubernetes

Database management skills

Performance and reliability analysis

Effective communication

Tools

AWS EC2

Kubernetes

Job description

Senior Engineer, R&D Developer Productivity

MongoDB 12 July 2025

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 Evergreen Team

The Developer Productivity Team empowers engineers at MongoDB through our automated build, test, and release systems for all MongoDB products. This role is focused on Evergreen, our continuous integration system, which runs 300 million tests across 400 thousand hosts per day. We’re looking for an engineer who cares deeply about scaling distributed systems, optimizing database performance, ensuring ongoing reliability, and improving software engineering for those around them. This is a primarily back‑end role, working with Go, Kubernetes, AWS, and MongoDB.

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

The right candidate for this role will

• Be proficient in a statically typed, compiled language (we primarily use Go)
• Have solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Have a track record of shipping systems in a Cloud environment, with proficiency in Kubernetes
• Have familiarity with managing cloud compute resources, such as virtual machines (ideally AWS EC2)
• Have familiarity with working with databases (ideally managing a noSQL database)
• Have familiarity with identifying performance and reliability bottlenecks in an existing software system, as well as identifying solutions and reliable measurements for future monitoring
• Be a helpful and thoughtful communicator with other engineers and stakeholders

• Scale our continuous integration ecosystem as it supports the needs of a growing engineering organization
• Support project owners and R&D Productivity teams by introducing functionality and simplifying existing functionality to streamline the testing process
• Propose well‑reasoned features and solutions by incorporating user feedback, metrics, and company and department objectives.
• Incorporate AI tooling to improve support and developer experience

Success Measures

In three months, you’ll have understood the high‑level architecture of Evergreen and made contributions to the performance and reliability of our systems as well as features impacting our customers. You will be able to answer questions concerning the performance and operations of systems you have most actively worked on. You will be in discussions about next steps for larger projects to carry out.
In six months, __ you will have led or been a major contributor on one or more substantial projects. You will be subject matter expert across most of our systems, able to understand how they are and are not interdependent, and will be able to answer questions about how they perform and operate. You will have also identified smaller architectural and operational improvements, especially by using your perspective and experience from outside MongoDB.
In twelve months, You will regularly be initiating and leading technical projects and operational changes that have a substantial impact on our ability to deliver a smooth debugging and testing experience for the developers that use our products at MongoDB. You will be a strong technical resource across all of our systems as well as adjoining systems, and will be able to provide guidance about technical and operational direction across both. You will be responsible for mentoring newer and more junior members of the team, especially around concepts related to scaling and reliability.

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.

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

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

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