NoSQL/ Mongo DBA
Skills
- Amazon Web Services
- Amazon EC2
- Database Administration
- CyberArk
- Database Design
- Red Hat Enterprise Linux
- Python
- Replication
- NoSQL
- Linux Administration
- MongoDB
- Query Optimization
- Redis
- Shell
- Security Clearance
- Software Performance Management
- Version Control
- Workflow
- Virtual Private Cloud
- Scripting
- Identity Management
- Failover
- Dynatrace
- Git
- High Availability
- IaaS
- Management
- Collaboration
- Optimization
- Database Performance Tuning
- Splunk
- Scalability
- Performance Tuning
- CentOS
- Bitbucket
- ATLAS
- Backup Administration
- Capacity Management
- Caching
- Analytical Skill
- Cloud Computing
- Database
- Linux
- Hosting
- Clustering
- Performance Management
- Amazon Web Services
- Amazon EC2
- Database Administration
- CyberArk
- Database Design
- Red Hat Enterprise Linux
- Python
- Replication
- NoSQL
- Linux Administration
- MongoDB
- Query Optimization
- Redis
- Shell
- Security Clearance
- Software Performance Management
- Version Control
- Workflow
- Virtual Private Cloud
- Scripting
- Identity Management
- Failover
- Dynatrace
- Git
- High Availability
- IaaS
- Management
- Collaboration
- Optimization
- Database Performance Tuning
- Splunk
- Scalability
- Performance Tuning
- CentOS
- Bitbucket
- ATLAS
- Backup Administration
- Capacity Management
- Caching
- Analytical Skill
- Cloud Computing
- Database
- Linux
- Hosting
- Clustering
- Performance Management
- SummaryNoSQL/ Mongo Database AdministratorWoodlawn MD(Onsite)
Description of Work:
- Experienced MongoDB / NoSQL Database Administrator with strong AWS cloud expertise to support database design, administration, optimization, and operational reliability. This role will support mission-critical applications, implement best practices in NoSQL database performance, and collaborate with cross-functional teams in a fast-paced environment.
- Ability to obtain and maintain
US Public Trust ClearanceBasic Qualifications:
Minimum knowledge, skills, abilities needed.
- Bachelors +5 years' experience
- Hands-on experience administering MongoDB in production environments
- Experience with ElastiCache (Redis) including clustering, replication, and caching strategies
- Strong experience with AWS cloud infrastructure
- Proficiency in Linux systems administration (RHEL, CentOS, or similar)
- Familiarity with Git and Bitbucket version control processes
- Experience in database performance tuning, indexing strategies, and diagnostic troubleshooting
- Ability to write scripts (Shell, Python, etc.) to automate routine tasks
- Strong analytical skills and the ability to troubleshoot complex issues
- Resource is expected to work onsite 5 days a week at our customer location.
- Provide administration, configuration, and performance tuning for MongoDB, MongoDB Atlas, Amazon DocumentDB, and ElastiCache Redis
- Design, implement, and maintain NoSQL database architectures supporting high availability and scalability
- Manage deployments, backups, replication, failover, and monitoring of NoSQL database environments
- Support application teams with database schema design, query optimization, and capacity planning
- Leverage AWS services for cloud-native operations (EC2, VPC, IAM, CloudWatch, Lambda, etc.)
- Administer and troubleshoot Linux systems hosting database workloads
- Implement secure access management and secrets control (CyberArk/Conjur experience preferred)
- Utilize monitoring tools (Dynatrace, Splunk) for proactive performance management and alerting
- Participate in code versioning and deployment workflows using Git and Bitbucket
- Develop automation for routine tasks, monitoring, and system health checks
- Provide on-call support as needed and ensure database SLAs are met
Preferred Qualifications:
Candidates with these skills will be given preferential consideration.
- Experience with CyberArkor Conjur for secrets management
- Experience with Dynatrace, Splunk, or other APM/logging tools
- Previous experience supporting large-scale mission-critical NoSQL systemsEmployers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description.
The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.