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About the role
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.
We are looking to speak to candidates who are based in Sydney for our hybrid working model. The standard work week post ramping will be Sunday - Thursday every week. With three days in office.
Why MongoDB is a fantastic place to work and build your career
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
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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.
WHAT YOU NEED
You 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.
The ideal candidate should have a mix of experience in most of the following areas:
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!
BONUS POINTS
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
SUCCESS MEASURES
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
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 AI-native startups and approximately 75% of the Fortune 100, 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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
