Lead Engineer, Online Archive Storage Systems

About The Team

The Atlas Data Federation and Archiving (ADFA) Storage Systems team is at the heart of Mongo

DB’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. We are building a next‑generation, single‑tenant archival solution for Mongo

DB’s largest and most sophisticated enterprise customers.

This is a critical role that combines people management with deep technical expertise to solve complex distributed systems problems  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 Mongo
  
  DB’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 post‑mortems 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). The position includes participating in a 24/7 support rotation approximately one week every two months.

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.

Candidates must have:

• Experience leading engineering teams building and operating production systems.
• 5+ years of 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.

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. Our 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 fertility assistance and a generous parental leave…