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Mongo DBA

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Teamware Solutions
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Location:

Sunnyvale, CA or Austin, TX (5x/ week onsite)
*** PST HOURS REQUIRED

Duration: 6 months

  • Configure Mongodb replica set and sharded clusters as per the application requirement.
  • Mongodb BRS & Ops-Mgr setup and onboard replica sets & sharded clusters on to Ops-Mgr.
  • Mongodb security enhancement using X509 and TLS authentication to comply with Apple security standards.
  • Automate backup/restore/monitoring jobs using python and shell scripting. DBA requirement
  • Should have designed, installed & configured multi node Mongo

    DB sharded cluster &replica sets on Linux Platforms.
  • Adding / removing replica and shard nodes in Mongodb Cluster as needed. Created Text Index for querying specific documents with string content.
  • Good knowledge of a shard key and making sure of even distribution of data across multiple shards.
  • Converted replica set to sharded cluster because of data size growth and better query rate planning.
  • Worked on Upgrade/migrations of repica

    Set and Sharded cluster from 4.0 to 4.xx
  • Deploying, migrating data, monitoring, analyzing, and tuning Mongo

    DB.
  • In-depth knowledge of Ops Manager and Ops manager Upgrade.
  • Knowledge about Groups and Project in Ops Manager
  • Knowledge about Authentication and Authorisation and X509 authentication
  • Should have Configured SSL key files to implement security across all mongod instances.
  • Extensive knowledge of Mongo replication architecture and change stream.
  • Documenting Mongo

    DB installation, operations, security, auditing multiple environments.
  • Should have knowledge about Query plan architecture and performance tuning at host and DB level.
  • Knowledge Range based sharding and Hash based sharding/ Indexing
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