1,161,622open jobs
13,727companies
227,717added this week
Browse all
Salary
$82k – $195k per year (Estimated)
Location
Remote/Hybrid (Dublin, Ireland)
Seniority
Staff
Overview
Company
Impact
Profile match
MongoDB is an American database company founded in 2007 that built a document-oriented database storing records as flexible JSON-like structures rather than fixed relational tables. Its main commercial product is Atlas, a managed service running the database across the major public clouds with search, vector search, streaming and analytics layered on top, which now supplies the majority of company revenue. Headquartered in New York and listed on Nasdaq, it acquired the embedding model company Voyage AI in 2025 to strengthen its position in retrieval for artificial intelligence applications, and its database remains among the most widely used outside the relational world.

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace.

We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. 

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

Core responsibilities

  • Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment
  • Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required
  • Time management: between assisting team members with day to day tasks ranging from incident to project management
  • Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer
  • Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base
  • Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents
  • Detect opportunities for streamlining the team’s day to day work by introducing and implementing opportunities for automation or time saving tooling
  • Coordinate and participate in weekly on-call rotation, where you will handle short term customer incidents

Requirements

  • Strong leadership skills, with hands-on experience in similar roles working in small to mid sized Engineering Teams in a rapid-growth environment 
  • Strong diagnostic/troubleshooting process, with significant experience troubleshooting end-to-end technical issues in production environments
  • Experience supervising, leading and monitoring progress of Software Development projects
  • Patience, empathy, and a genuine desire to help others
  • Excellent communication skills, both written and verbal
  • Ability to think on your feet, remain calm under pressure, and find solutions to challenges in real-time
  • Experience with being an oncall DevOps, SRE, or Cloud Operations engineer
  • Expertise with Linux system administration and networking technologies
  • Knowledge of database and distributed system operations and concepts
  • Knowledgeable about a wide range of web and internet technologies
  • Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
  • Experience in monitoring, system performance data collection and analysis, and reporting
  • Capability to write programs/scripts to solve both short-term systems problems and long term strategic objectives for the Atlas product
  • A CS/CE degree or equivalent experience
  • At least 2 of the following programming languages: Java, Go, Python, Typescript
  • A keen interest in learning new skills and competencies

Expectations and success profile:

  • Deliver strong results through the team, not just through individual output
  • Raise the team’s performance and efficacy while coaching and working alongside the team members
  • Create clarity in ambiguous situations while also keeping stakeholders aligned
  • Partner with the Cloud Operations Engineering regional Manager in ensuring operational minimums are met, high technical quality is maintained and the team operates within realistic and reasonable workload parameters

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: 2273493472

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,161,622 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Dublin
$160k – $175k per year • Equity • Remote • 7+ years exp • Master's Degree
Python
AI/ML
Computer Vision
Keras
PyTorch
TensorFlow
DevOps
AWS
GCP
Git
Apply
$152k – $163k per year • Equity • Remote • 3+ years exp • Master's Degree
Python
AI/ML
Computer Vision
Keras
PyTorch
TensorFlow
DevOps
Git
Apply
In office • Internship • Master's Degree • Shanghai
Perl
Python
AI/ML
Agentic Workflows
AI Agents
Function Calling
LangChain
LlamaIndex
LLM
OpenAI
Tool Use
DevOps
CI/CD
Git
Apply
In office • Internship • PhD • Shanghai
C++
Python
C
C
MPI
AI/ML
CUDA
CUDA Toolkit
OpenCL
DevOps
HPC
Apply
In office • Internship • Master's Degree • Shanghai
C#
C++
Python
AI/ML
AI Agents
Model Context Protocol
Apply
$70k – $143k per year (Estimated) • Equity • In office • 2+ years exp
JavaScript
Python
DevOps
AWS
Azure
GCP
Kubernetes
PagerDuty
Splunk
Cybersecurity
FedRAMP
Apply
Equity • Remote/Hybrid • Cork
DevOps
AWS
Azure
GCP
Apply
$123k – $225k per year (Estimated) • In office • 8+ years exp • Toronto
AI/ML
AI Agents
Model Context Protocol
Agentic Workflows
DevOps
AWS
Azure
GCP
IAM
Apply
$151k – $276k per year (Estimated) • Equity • In office • 8+ years exp
AI/ML
AI Agents
Model Context Protocol
Agentic Workflows
DevOps
AWS
Azure
GCP
IAM
Apply
In office • 5+ years exp • Mexico City
DevOps
AWS
Azure
GCP
Marketing
Salesforce
Apply
$128k – $229k per year (Estimated) • Equity • Remote • Full-Time • Dublin
AI/ML
Computer Vision
Marketing
HubSpot
LinkedIn
Apply
$154k – $259k per year (Estimated) • Remote • Full-Time • 5+ years exp • Dublin
SQL
AI/ML
Computer Vision
Marketing
HubSpot
Apply
Remote • Full-Time • Dublin
AI/ML
Computer Vision
Apply
Remote • Full-Time • Dublin
Databases
Snowflake
AI/ML
Computer Vision
Marketing
Salesforce
Apply
$163k – $270k per year (Estimated) • Remote • Full-Time • 5+ years exp • Bachelor's Degree • Dublin
AI/ML
Computer Vision
DevOps
Amazon EC2
AWS
AWS Lambda
CI/CD
Terraform
Amazon CloudWatch
Amazon S3
Cybersecurity
GDPR
Apply
See all jobs
This is one of many
1,161,622 more open roles from verified company boards, updated every day.