Technical Services Engineer, 1st Shift

MongoDB
United StatesPosted 24 March 2026

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 help our customers to be successful with MongoDB. Our engineers can tell you how MongoDB’s Technical Services Team is Solving Complex Technical Challenges . We are looking to speak to candidates who are based in the United States for our remote working model Monday to Friday, 8am-5pm, for the first 3-6 months, depending on ramping speed. Once considered ramped, they will transition to a permanent (either Wednesday to Sunday, or Saturday to Wednesday) work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers 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 customers be successful. You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll become an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. You’ll be part of a team which delivers rich shared context as part of global incident response for select customers. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. 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: Excellent communication skills, both written and verbal 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: willingness and ability to get help from team members when required, and the good judgment to know when to seek help 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 in leveraging APIs to gather information and initiate actions 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 code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. 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 Bonus Points Experience managing large ... (truncated, view full listing at source)
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