Technical Lead Manager

MongoDB; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

MongoDB in Dublin is seeking an Engineering Manager to lead the Atlas Data Federation & Archiving team within the Atlas Organization. The role focuses on building distributed backend systems and interfacing with AWS, Azure, and GCP to ensure security, durability, availability, and performance for MongoDB Atlas deployments.

Based in Dublin, you’ll work in a hybrid or in-office arrangement while guiding design, architecture, and roadmap decisions.

Qualifications

• At least 6 years of professional software development experience.
• At least 3 years of people management experience.
• Led engineering teams that built and maintained large-scale systems.
• Skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.).
• Experience with AWS, Azure, or GCP and cloud storage primitives.
• Hands-on experience with petabyte-scale data infrastructure or storage systems.
• Eager to solve tough problems and show initiative.
• Excellent communication skills and collaborative mindset.

Responsibilities

• Lead a team of motivated individual contributors focused on growth and excellence.
• Contribute to code, design, and architecture of team systems.
• Collaborate with MongoDB stakeholders to shape roadmaps and product offerings.
• Work with customers and support engineers to fix issues and participate in on-call rotation.
• Foster an inclusive and respectful work environment in line with MongoDB's Core Values.

Skills

Leadership

Distributed systems

Go/Java/C#

Cloud platforms

Communication

Team mentoring

Job description

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault‑tolerant, secure, globally distributed MongoDB 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 MongoDB.

The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets.

We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office 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 MongoDB 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 MongoDB's Core Values

We’re looking for someone who

• Has at least 6 years of professional software development experience
• Has at least 3 years of people management experience
• Has led engineering teams that have built and maintained large‑scale systems
• Is skilled at writing large‑scale, distributed backend systems in a compiled language (Go, Java, C#, etc.)
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP) and cloud storage primitives (S3, GCS, Azure Blob)
• Hands- on experience with petabyte‑scale data infrastructure or storage systems
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Clusters team
• In 3 months, you will be contributing to design and development of your team’s projects and working 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. You will be supporting our customers during escalations and have joined our on‑call rotation

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 is an equal opportunities employer.