MongoDB
Technical Services Engineer, Named Accounts
Palo Alto; San Francisco
Sponsorship not specified$90k-$176kDetected 1 day ago
JavaScriptPythonJavaC++C#RubyNode.jsNoSQLMongoDBAWSGCPAzureCloud PlatformsLinuxStakeholder ManagementCustomer SupportSystems EngineeringTCP/IPDNSLeadershipCommunicationProblem Solving
About the role
- In Technical Services, it's our job to help these people.
- You'll be an expert resource on best practices for running MongoDB at scale, whatever that scale may be.
- We encourage you to apply even if you've never used MongoDB before.
Requirements
- Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
- Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
- Experience analyzing issues holistically, from the application tier, through the database, down to the storage
- Ability to think on your feet, remain calm under pressure, and solve problems in real-time
- Willingness and ability to get help from team members when required, and the good judgment to know when to seek help
- Experience with authentication systems such as LDAP, Kerberos, AD
Skills
- Monitoring and Alerting
- Backup and Recovery
- Security
- Data modeling and schema design
- Performance tuning
- Solutions architecture
Compensation
- Salary is one part of MongoDB's total compensation and benefits package.
- Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
- MongoDB's base salary range for this role in the U.S. is:
- MongoDB's base salary range for this role is posted below.
Company info
- In 6 months, you will be comfortable working frontline with our customers.
- Within 6-12 months, you will be a part of the Premium Services team within Technical Services and you will be expected to be the primary point of contact for customers and be managing their MongoDB needs independently
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.