Technical Services Engineer
MongoDBVancouverPosted 24 February 2026
Tech Stack
Job Description
MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). 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 Vancouver for our hybrid working model.
Cool things you’ll do
MongoDB is on a mission to change the way people think about databases. Along the way, our customers and partners encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.
You'll be working alongside our largest customers and partners, 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' and partners’ 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. Externally, you will work with many of MongoDB's top ISV partners and ensure excellence for our joint customers.
In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.
What you need
We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.
It’s important for candidates to check off these boxes:
Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
Experience managing large scale databases (e.g. RDBMS or NoSQL)
Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
Experience building and maintaining complex mission-critical production database systems
Be able to read and write code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
Experience working with APIs and other application integration technologies
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
Genuine desire to help people
Ability to think on your feet, remain calm under pressure, and solve problems in real-time
Desire and ability to rapidly learn a wide variety of new technical skills
Collaboration: Ability to work collaboratively amongst cross functional teams (partner, sales, support, customer success, etc)
Willingness and clarity of thoughts to be able to work in ambiguous multi-party situations where motivations and incentives are sometimes misaligned
General understanding of partner ecosystems
Bonus Points
Experience in one or more programming languages developing applications using a NoSQL or SQL database
Strong understanding of 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 or other orche ... (truncated, view full listing at source)
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