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Mongo DBA

Artech · Sunnyvale, CA · Onsite

100100

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Actively hiring

Posted 4 days ago · still listed on the employer's own board · How we score

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  • Posted 4 days ago
  • Still listed on the employer's own board
  • Publishes a salary range

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Job Title

Mongo DBA

Location

Sunnyvale, CA / Austin, TX (Onsite)

Duration

6 Months

Salary Range

$56.00 - $58.00/Hour on W2 (Without Benefits).

Applicants must be willing to work on W2.

Note

All Candidate’s submissions must include the candidate's LinkedIn ID.

Job Responsibilities

  • Overall Experience Required is 6–8 Years.
  • Must Have 7+ Years in MongoDB.
  • Configure MongoDB replica sets and sharded clusters as per application requirements.
  • Set up MongoDB BRS and Ops Manager and onboard replica sets and sharded clusters onto Ops Manager.
  • Enhance MongoDB security using X509 and TLS authentication to comply with Apple security standards.
  • Automate backup, restore, and monitoring jobs using Python and shell scripting.
  • Design, install, and configure multi-node MongoDB sharded clusters and replica sets on Linux platforms.
  • Add and remove replica and shard nodes in MongoDB clusters as needed.
  • Create text indexes for querying specific documents with string content.
  • Understand shard keys and ensure even distribution of data across multiple shards.
  • Convert replica sets to sharded clusters due to data size growth and better query rate planning.
  • Perform upgrades and migrations of replica sets and sharded clusters from version 4.0 to 4.xx.
  • Deploy, migrate data, monitor, analyze, and tune MongoDB.
  • Have in-depth knowledge of Ops Manager and Ops Manager upgrades.
  • Understand groups and projects in Ops Manager.
  • Understand authentication, authorization, and X509 authentication.
  • Configure SSL key files to implement security across all mongod instances.
  • Have extensive knowledge of MongoDB replication architecture and change streams.
  • Document MongoDB installation, operations, security, and auditing across multiple environments.
  • Understand query plan architecture and performance tuning at the host and database levels.
  • Understand range-based sharding, hash-based sharding, and indexing.
  • Migrate MongoDB clusters to AWS.

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