Technical Services Engineer, Infrastructure - Weekend

About the team

Mongo

DB 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 Mongo

DB problems. Technical Service Engineers are specialists in the entire Mongo

DB ecosystem – database server, drivers, our management suite, as well as services such as Atlas (), Cloud Manager, Compass to name a few. Our engineers combine their Mongo

DB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We’re looking for individuals who want to dig into the details of how “big data” and “web‑scale” systems are successfully assembled and operated every day by organizations of every size and flavor.

• 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 off‑sites, 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

• 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 Mongo
  
  DB Server, Mongo
  
  DB 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.

• Opportunity to shape the roadmap of products, tooling, and the core database by providing product feedback.

• Patience, empathy, and a genuine desire to help others.

• Excellent communication skills, both written and verbal, with internal and external stakeholders.

• The ability to think on your feet, remain calm under pressure, and find solutions to challenges in real‑time.

• Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end‑to‑end technical issues in production environments.

• Full understanding of Linux systems and networking concepts, including firewalls, load balancers, performance tuning, storage management.

• 1+ years of experience in a Support role working directly with customers.

• 2+ years of experience with administering RDBMSs such as Oracle, Postgres, MySQL etc. Mongo
  
  DB experience is preferred.

• 3+ years or more of combined experience in the following technical domains (ideally with some experience in the rest).

• Experience operating in and managing Kubernetes clusters.

• Experience with Dev Ops practices and Infrastructure‑as‑code.

• Experience with Disaster Recovery situations (Backup management, Snapshot Restores, Return‑to‑service operations).

• 5+ years of mixed experience with Cloud (AWS, GCP, Azure) and on‑prem infrastructure administration in a production environment.

• Experience with AI topics, development, and supporting technologies such as Vector Search.

• Experience…