
Mongo DBA
Artech · Sunnyvale, CA · Onsite
Hiring signal
Actively hiring
Posted 4 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 4 days ago
- Still listed on the employer's own board
- Publishes a salary range
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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