The opportunity
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 Service Engineers are specialists in the entire MongoDB…
What you'll do
We are looking to speak to candidates who are interested in working out of: our Palo Alto, CA office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed
Once considered ramped, they will transition to a permanent Wednesday: Sunday 8am-5pm work week (with 3 in-office days) 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
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
What they're looking for
- Learn, contribute, and make an impact on the product and community
- In this cross‑functional role as a Technical Services Engineer, you will work: with the largest and most demanding customers to drive successful implementations of MongoDB Server, MongoDB Search, and managed backups on Kubernetes platforms
- Enhance your technical troubleshooting expertise and experience as a TSE: (Technical Services Engineer) by working on customer use cases, evaluating solutions, customer business pain points, application architectures, and Cloud infrastructure configurations
- Collaborate with enterprise customers to design, implement, and troubleshoot: backup strategies for massive production environments—scaling to petabytes of data—while ensuring high availability, disaster recovery readiness, and compliance with retention requirements
