Lead, Engineering

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 Cork 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

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’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, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Clo