Engineering Manager, Atlas Clusters Fleet Signal Management

Mongo DB is seeking an Engineering Manager to join the Atlas Clusters Organization.

The organization is responsible for building Mongo DB Atlas, our database‑as‑a‑service offering and fastest growing product.

Atlas allows users to deploy fault‑tolerant, secure, globally distributed Mongo DB clusters in just minutes.

This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of Mongo DB.

The Atlas Clusters Fleet Signal Management team is a product engineering team that builds machinery to rollout hardware and software to the Atlas data plane, detect regressions at scale, and automate remediative actions.

The core mission is to establish platform stability by owning the rollout and monitoring systems designed to swiftly detect and mitigate potential issues.

We are forming a new Atlas Clusters Fleet Signal Management team in the Dublin area.

The Engineering Manager who fills this position will be pivotal in growing that team.

We are looking for candidates who are based in Dublin for our hybrid working model.

• What you’ll do
• Lead a team of motivated individual contributors who are eager to learn and grow.
• Contribute to the code, design, and architecture of the systems your team develops.
• Work with stakeholders throughout Mongo DB to build our roadmap and product offerings.
• Work with customers and support engineers to fix issues and become part of our on‑call rotation.
• Collaborate with team members to develop our codebase, best practices, and design principles.
• Foster an inclusive and respectful work environment according to Mongo DB’s Core Values.

Qualifications

• At least 8 years of professional software development experience.
• At least 3 years of people management experience.
• Experience leading engineering teams that have built and maintained large‑scale systems.
• Skilled at writing large‑scale, distributed backend systems in a compiled language (Go, Java, C#, etc.).
• Experience with streaming architectures.
• Experience with at least one major cloud provider technology (AWS, Azure, GCP).
• Experience deploying various types of software to a fleet of VMs.
• Eager to solve tough problems.
• Excellent communication skills.
• Curious, collaborative, and motivated.
• Success Measures
• In 1 month, familiarize yourself with the foundational parts of the system, the existing features, and projects within the Atlas Clusters team.
• In 3 months, contribute to design and development of your team’s projects and work on your team’s growth.
• In 6 months, you and your team will have ramped enough to take on medium‑sized projects and you will be leading your team towards its product and engineering goals.
• Support our customers during escalations and have joined our on‑call rotation.
• About Mongo DB

Mongo DB is built for change, empowering our customers and our people to innovate at the speed of the market.

We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.

Mongo DB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 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.

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