The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development.
MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure.
We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week.
Cool things you’ll doYou’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll:
- Solve customer challenges across architecture, performance, recovery, and security
- Lead investigations from diagnosis to resolution, providing clear, actionable guidance
- Partner with Product Management and Engineering to advocate for customers and improve MongoDB
- Build tools, documentation, and training while mentoring peers and raising technical excellence
We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following:
- 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field
- Experience running complex, mission-critical production database systems
- Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting
- A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS
- Ability to read code and write basic scripts in one or more languages, such as Python, Java, JavaScript, Go, C++, or Ruby
- Experience analysing issues across the application, database, operating system, storage, and infrastructure layers
- Awareness of customer workloads, including performance, availability, scalability, and security requirements
- Excellent customer communication, prioritisation, collaboration, and decision-making skills, including the judgement to seek help when needed
- Python experience and familiarity with agent frameworks such as LangGraph or CrewAI
- Experience with distributed full-text, vector, or semantic search, such as Solr, Lucene, or MongoDB Vector Search
- Experience building or supporting agentic AI applications, workflows, or integrations
- Experience with large-scale relational or NoSQL databases
- Familiarity with MongoDB, Git, LDAP, Kerberos, Active Directory, AWS, Azure, or GCP
- Experience with Kubernetes, containers, enterprise operators, or secure multi-tenant environments
- In 3 months, you’ll complete New Hire Training and build a strong understanding of MongoDB and its ecosystem
- In 6 months, you’ll work confidently with customers, handle a broad range of cases, and complete the MongoDB Certified Associate Database Administrator exam
- In 12 months, you’ll support peers with advanced diagnostics and handle technical escalations independently
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: 2273451634
Skills Required
- 5-6 years of experience in technical support, systems engineering, database administration, SRE, or a related field
- Experience running complex, mission-critical production database systems
- Strong Linux and systems engineering skills (performance, memory, I/O, storage, networking, security, clustering, troubleshooting)
- Solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS
- Ability to read code and write basic scripts in one or more languages such as Python, Java, JavaScript, Go, C++, or Ruby
- Experience analysing issues across application, database, operating system, storage, and infrastructure layers
- Awareness of customer workloads including performance, availability, scalability, and security requirements
- Excellent customer communication, prioritisation, collaboration, and decision-making skills
- Python experience and familiarity with agent frameworks such as LangGraph or CrewAI
- Experience with distributed full-text, vector, or semantic search such as Solr, Lucene, or MongoDB Vector Search
- Experience building or supporting agentic AI applications, workflows, or integrations
- Experience with large-scale relational or NoSQL databases
- Familiarity with MongoDB, Git, LDAP, Kerberos, Active Directory, AWS, Azure, or GCP
- Experience with Kubernetes, containers, enterprise operators, or secure multi-tenant environments
What the Team is Saying
MongoDB Compensation & Benefits Highlights
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Parental & Family Support — Parental leave is set at 20 weeks paid and gender‑neutral (generally after one year of service), alongside 90% reimbursement for fertility, adoption, or surrogacy costs up to $50,000. Backup child/elder care via Care.com and parenting support (e.g., Cleo) add depth to family coverage.
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Healthcare Strength — Medical, dental, and vision options are broad, with some plans listing $0 employee‑only premiums, HSA contributions, and a free One Medical membership. Mental health resources include Spring Health (with therapy visits), an EAP, and a trained Mental Health First Aid network.
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Equity Value & Accessibility — Total rewards commonly include RSU equity grants and an Employee Stock Purchase Plan, creating meaningful ownership opportunities. Multiple role descriptions and benefits pages emphasize equity as a core component of compensation.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
