Technical Services Engineer
MongoDB
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Preparing for this interview
Interviews for services roles keep coming back to AWS. Practise those questions before you sit with MongoDB.
Questions you are likely to be asked
- Why do you want to join MongoDB?
- What is your experience with MongoDB? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Technical Services Engineer at MongoDB interview free →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 do
You’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
What you need
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
Bonus Points
- 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
Success Measures
- 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
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: 2273451634
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Listed on greenhouse · posted 2026-06-04. ApplySarthi collects openings and links to application pages; the role is advertised by MongoDB, not by us.