Technical Services Engineer
Quick Summary
Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Understand core Kubernetes concepts,
MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers.
The position will be based in our Sydney office. The standard work week post ramping will be Tuesday to Saturday, every week.
- Be a part of the company that’s reinventing the database, passionate about innovation and speed
- Enjoy a fun, inspiring culture that is engineering focused
- Work with exceptionally talented people around the globe
- Learn, contribute, and make an impact on the product and community
MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB.
You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
MongoDB Technical Services puts a strong focus on engineers enabling their peers to be successful by sharing newly gained technical knowledge with the team, either via informal one-to-one conversations, or training and workshop sessions. By documenting solutions in our knowledge platform, TSEs will increase the efficiency of our customers, other team members and departments throughout MongoDB.
Beyond direct customer work, you will contribute to internal tools and automation that make our engineers and customers more effective, including AI-assisted diagnostics, performance analysis, and knowledge discovery. You will share what you learn by writing knowledge base articles, delivering training and workshops, and mentoring new team members. As MongoDB’s AI and data platform continues to evolve, you will play a key role in exploring and teaching new product capabilities across the MongoDB ecosystem.
Requirements
~1 min readYou should have 5+ years of proven experience, we consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.
- Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
- Understand core Kubernetes concepts, including containers, namespaces, custom resources and multi-cluster deployments
- Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
- Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
- Experience building and maintaining complex mission-critical production database systems
- Broad awareness of customer workloads and use cases, including performance, availability, and scalability
- Experience analyzing issues holistically, from the application tier through the database, down to the storage
- Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
- Desire and ability to rapidly learn a wide variety of new technical skills
You should possess a genuine desire to help people, the ability to think on your feet and remain calm under pressure while solving problems in real-time. There’s a lot to learn, so the desire and ability to rapidly learn a wide variety of new technical skills is paramount. We work in a collaborative team environment, so a willingness and ability to get help from team members when required, and good judgment to know when to seek help, is essential. We also aim to have diverse technical backgrounds and therefore different subject matter expertise is welcome.
You do not need to have prior experience with MongoDB. We can teach you that!
Nice to Have
~1 min read- Experience managing large scale databases (e.g. RDBMS, NoSQL)
- Experience with authentication systems such as LDAP, Kerberos, AD
- Experience using or managing MongoDB
- Experience using distributed version control systems, and in particular git
- Experience using any cloud services stack such as AWS, Azure or GCP
- Experience with Kubernetes (including CLI), ability to inspect resource / container status using relevant utilities and commands
- In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
- In 6 months, you will be comfortable partnering with our customers. You will also complete the MongoDB Certified DBA Associate exam
- In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to 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.
| Requisition ID | 2273496973 |
Location & Eligibility
Listing Details
- Posted
- July 22, 2026
- First seen
- July 22, 2026
- Last seen
- July 22, 2026
Posting Health
- Days active
- -1
- Repost count
- 1
- Trust Level
- 61%
- Scored at
- July 22, 2026
Signal breakdown

Get your ideas to market faster with a developer data platform built on the leading modern database. Support transactional, search, analytics, and mobile use cases while using a common query interface and the data model developers love.
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