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Technical Lead Manager
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At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Category
- Full-stack
What you'll be doing
MongoDB seeks an Engineering Manager for the Atlas Data Federation & Archiving team in Dublin. The role involves leading a team building distributed backend systems for Atlas, focusing on data federation and archiving across major cloud providers. Hands-on technical leadership and people management are required.
- Lead a team of individual contributors
- Contribute to code, design, and architecture of systems
- Collaborate with stakeholders to build roadmap and product offerings
- Work with customers and support engineers to resolve issues and participate in on-call rotation
- Develop codebase, best practices, and design principles with team
- Foster an inclusive and respectful work environment
Key requirements
Must-have
- At least 6 years of professional software development experience
- At least 3 years of people management experience
- Experience leading engineering teams building and maintaining large scale systems
- Skilled in writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.)
- 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
- Excellent communication skills
Experience: 6+ years software development, 3+ years people management
Role signals
- Technical focus
- distributed backend systems, data infrastructure, cloud storage
- Leadership
- People management
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full 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
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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
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Has led engineering teams that have built and maintained large scale systems
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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
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Has excellent communication skills
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Is curious, collaborative, and motivated
Success Measures
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In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Clusters team
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In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
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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 Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 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 is an equal opportunities employer.
Req ID:1273387833
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Technical Lead Manager role at MongoDB's Atlas Data Federation & Archiving team in Dublin focuses on leading and growing a team responsible for large-scale, distributed backend systems and cloud data infrastructure, while remaining hands-on with code, architecture, and stakeholder collaboration.
- Hands-on technical leadership·High
- Distributed systems expertise·High
- Cloud infrastructure experience·High
- People management and team growth·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Atlas Data Federation & Archiving Documentation
0–7 minStudy MongoDB Atlas documentation, focusing on Data Federation and Online Archive features to understand the team's product area.
Prepare Leadership and Team Growth Examples
7–14 minReflect on and outline specific examples of leading, mentoring, and scaling engineering teams, especially in distributed systems contexts.
Refresh Distributed Systems and Cloud Storage Knowledge
14–21 minReview your experience with distributed backend systems, compiled languages, and cloud storage technologies relevant to the role.
Practice Stakeholder and Incident Management Scenarios
21–26 minPrepare stories about collaborating with stakeholders, handling customer escalations, and participating in on-call rotations.
Draft Role-Specific Questions
26–30 minWrite down thoughtful questions to ask during the interview about team priorities, challenges, and culture.
Talking points
, 5 itemsLeading and Growing Engineering Teams
You will need to provide examples of how you have built, managed, and scaled high-performing engineering teams, including hiring, mentoring, and fostering an inclusive culture.
Designing and Maintaining Distributed Systems
Demonstrate your experience architecting, coding, and maintaining large-scale, distributed backend systems, especially in compiled languages.
Cloud Provider and Storage Expertise
Showcase your hands-on experience with AWS, Azure, or GCP, and cloud storage primitives like S3, GCS, or Azure Blob, particularly at petabyte scale.
Stakeholder and Customer Collaboration
Prepare to discuss how you have worked with product, support, and customers to define roadmaps, resolve issues, and ensure product success.
On-call and Incident Management
Be ready to explain your approach to supporting production systems, participating in on-call rotations, and handling escalations.
What to research
, 4 itemsAtlas Data Federation & Archiving Features
Review MongoDB Atlas Data Federation and Online Archive capabilities, focusing on how federated queries and data archiving work.
Distributed Backend System Design
Refresh your knowledge of designing, scaling, and maintaining distributed backend systems in compiled languages.
Cloud Provider and Storage Technologies
Prepare examples of your experience with AWS, Azure, or GCP, and cloud storage primitives like S3, GCS, or Azure Blob.
Team Leadership and Growth
Reflect on your approach to hiring, mentoring, and developing engineering teams, especially in a hybrid or in-office environment.
Questions to ask
, 6 itemsWhat are the immediate priorities for the new Atlas Data Federation & Archiving team in Dublin?
Why ask this? Clarifies expectations and helps you understand the team's roadmap.
How does the team collaborate with other Atlas teams and stakeholders across MongoDB?
Why ask this? Gives insight into cross-team dynamics and communication.
What are the biggest technical challenges currently facing the Atlas Data Federation & Archiving team?
Why ask this? Helps you assess where your skills can have the most impact.
How is success measured for this role and the team in the first 6-12 months?
Why ask this? Clarifies performance expectations and growth opportunities.
What support and resources are available for team growth and professional development?
Why ask this? Shows your interest in team development and company culture.
How does the on-call rotation work, and what support is available during incidents?
Why ask this? Helps you understand operational responsibilities and support structures.
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