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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 Cork, Ireland. The role involves leading a team building distributed query engines and storage solutions for MongoDB Atlas, interfacing with major cloud providers, and contributing to code, design, and architecture.
- Lead a team of motivated individual contributors
- Contribute to code, design, and architecture of developed systems
- Work with stakeholders to build roadmap and product offerings
- Collaborate with customers and support engineers to fix issues and participate in on-call rotation
- Develop codebase, best practices, and design principles with team members
- 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 at 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
- backend, distributed systems, data infrastructure
- Leadership
- People management
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Mixed
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 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
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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 Atlas involves leading and growing a backend engineering team focused on distributed data federation and archiving, while contributing to system design, architecture, and hands-on development in a hybrid Cork-based environment.
- Technical leadership in distributed systems·High
- Cloud infrastructure and storage expertise·High
- Team building and people management·High
- Cross-functional collaboration·Medium
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
0–8 minStudy MongoDB Atlas's federated query and archiving features to understand the team's product domain.
Prepare Leadership and Team Growth Examples
8–15 minSelect and rehearse stories that showcase your experience building and leading engineering teams.
Refresh Distributed Systems and Cloud Storage Knowledge
15–22 minReview your experience with distributed backend systems and cloud storage integrations, focusing on technical challenges and solutions.
Plan Questions for the Interviewers
22–26 minDraft thoughtful questions about the team's priorities, challenges, and company culture to demonstrate your engagement.
Reflect on Incident Management and On-call Experience
26–30 minPrepare to discuss your approach to operational excellence and supporting teams during incidents.
Talking points
, 5 itemsLeading and Growing Engineering Teams
You will need to demonstrate your experience in building, mentoring, and scaling high-performing teams, especially in a new or growing office.
Designing and Developing Distributed Systems
The role requires hands-on expertise in architecting and coding large-scale, distributed backend systems, so be ready to discuss relevant technical challenges and solutions.
Cloud Infrastructure and Storage Integration
Experience with AWS, Azure, GCP, and cloud storage primitives is essential; prepare examples of integrating or optimizing systems for these environments.
Stakeholder and Cross-functional Collaboration
You will work with product, support, and other engineering teams, so be prepared to discuss how you align technical work with business goals and manage stakeholder expectations.
Incident Response and On-call Participation
The role includes supporting customers during escalations and participating in on-call rotations; be ready to share your approach to incident management and reliability.
What to research
, 4 itemsMongoDB Atlas Data Federation & Archiving
Review the architecture and features of Atlas Data Federation and Online Archive, focusing on how federated queries and data movement between hot and cold storage are implemented.
Cloud Provider Technologies and Storage Primitives
Refresh your knowledge of AWS, Azure, and GCP, especially their object storage solutions (S3, GCS, Azure Blob) and how they integrate with backend systems.
Distributed Systems Design in Compiled Languages
Prepare to discuss your experience designing and building distributed backend systems using Go, Java, C#, or similar languages.
Team Leadership and Growth Strategies
Reflect on your approach to building, mentoring, and scaling engineering teams, especially in new or rapidly growing environments.
Questions to ask
, 6 itemsWhat are the immediate priorities for the new Atlas Data Federation & Archiving team in Cork?
Why ask this? To understand the team's roadmap and how your leadership would contribute from day one.
How does the team collaborate with other Atlas engineering teams and stakeholders across MongoDB?
Why ask this? To clarify cross-team dynamics and expectations for stakeholder engagement.
What are the biggest technical challenges currently facing the Atlas Data Federation & Archiving team?
Why ask this? To assess where your technical expertise can have the most impact.
How is success measured for this role and the team in the first 6-12 months?
Why ask this? To align your efforts with the company's expectations and success metrics.
What support and resources are available for team growth and professional development?
Why ask this? To evaluate the company's commitment to leadership and team development.
How does the on-call rotation work, and what support is provided during customer escalations?
Why ask this? To understand operational responsibilities and available support structures.
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