Lead Engineer, Online Archive Storage Systems

About the Team

The Atlas Data Federation and Archiving (ADFA) Storage Systems team is at the heart of MongoDB's data tiering and archiving solutions. It owns the systems that move customer data from database clusters to cloud storage, enabling users to seamlessly tier their data to optimize cost and performance. This team is responsible for the complete Online Archive data pipeline, from the archive agents and worker ingestion systems to a petabyte-scale storage system. The team is embarking on a mission to build a next-generation, single-tenant archival solution for MongoDB's largest and most sophisticated enterprise customers.

About the Role

This is a critical role that combines people management with deep technical expertise to solve complex distributed systems problems at scale. As the Lead Engineer for the ADFA Storage Systems team, you will:

• Lead a team of 5-8 engineers (currently 6) building the next generation of MongoDB's archival infrastructure

• Be a hands-on technical leader, with significant IC time spanning coding, architecture, and technical reviews

• Mentor and guide your team members, fostering their technical growth and career development

• Collaborate with product management and peers on the archival product roadmap

• Drive incident response and postmortems for production storage systems

We are hiring for this position in our New York, Bay Area, or Seattle offices, with two hybrid working models: in-office (3-5 days/week) or flexible (1-2 days/week).

Note: The position entails participating in a 24/7 support rotation approximately 1 week every 2 months.

Our Management Philosophy

We believe in high standards with high support. That means:

• Direct feedback delivered with genuine investment in people's growth

• Regular 1:1s that go beyond status updates—career development, skill building, honest assessment

• Willingness to have uncomfortable conversations early rather than letting issues fester

• Making tough calls (performance, scope, priorities) while bringing the team along

If this resonates, we want to talk.

Candidates must have:

• Experience leading engineering teams building and operating production systems

• 5+ years software engineering experience, primarily in backend/distributed systems

• Comfort with 24/7 on-call rotation responsibilities

The ideal candidate would have:

• Hands-on experience with petabyte-scale data infrastructure or storage systems

• Experience building team consensus on architectural decisions across multiple engineering orgs

• Production Go or similar systems language experience

• Familiarity with cloud storage primitives (S3, GCS, Azure Blob)

But we're equally interested in candidates who:

• Come from adjacent domains (databases, data processing, cloud infrastructure) and want to dive deep into storage

• Have strong fundamentals but haven't worked at this specific scale yet

• Bring diverse technical backgrounds that challenge our assumptions

What matters most: Technical judgment, ability to mentor engineers, and appetite for tackling novel problems in data archiving at scale.

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: 3263270698

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:
$137,000—$270,000 USD