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# MongoDB DBA

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Backup Devices, Bash Shell, Unix, Cloud Computing, Databases, Continuous Integration, Linux, DevOps, Monitoring of Systems, Python (Programming Language), MongoDB, Nagios, NoSQL, Performance Tuning, Query Optimization, Redis, Ansible, Prometheus, Shell Script, System Availability, Grafana, Database Optimization, Indexer, Infrastructure Automation Frameworks, Information Technology, Cassandra, Terraform
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/b69dd953-a3b7-4937-a499-3236081b81ed/mongodb-dba

## About the Role

* 5-6 years of MongoDB DBA experience, with expertise in sharded environments.
 * Hands-on experience in manual cluster management (backups, restores, scaling, replication).
 * Proficiency in performance tuning (indexing, query optimization, explain plans).
 * Familiarity with monitoring tools (e.g., MongoDB Diagnostics, PMM, Nagios).
 * Knowledge of Linux/Unix environments and basic shell scripting.
 * Strong problem-solving skills and ability to work in a 24/7 on-call rotation (if required).

Preferred Skills:

 * Experience with MongoDB Atlas or other cloud-based deployments.
 * Knowledge of other NoSQL databases (e.g., Cassandra, Redis).
 * Understanding of DevOps practices (CI/CD, IaC tools like Ansible/Terraform).

Education & Certifications:

 * Bachelor's degree in Computer Science/IT or equivalent experience.
 * MongoDB Certification (e.g., MongoDB DBA Associate/Professional) is a plus.

## Description

* Manage and maintain MongoDB sharded clusters, ensuring high availability, performance, and security.
 * Perform MongoDB installations, upgrades, and patches across multiple shards and replica sets.
 * Handle backup and recovery operations (including point-in-time restores) without Ops Manager.
 * Monitor and optimize query performance, analyze slow queries, and provide tuning recommendations.
 * Scale clusters (adding/removing shards, rebalancing data) as per workload demands.
 * Use monitoring tools (e.g., MongoDB Atlas, Prometheus, Grafana, or native tools) to track cluster health and resource utilization.
 * Troubleshoot replication lag, connectivity, and other database issues.
 * Implement automation using basic shell scripting (Bash/Python) for routine DBA tasks.
 * Collaborate with developers to design efficient database schemas and indexing strategies.
 * Document configurations, procedures, and best practices.