Job Description
Database Architecture & Engineering
- Design and implement scalable MongoDB database architectures for enterprise applications.
- Establish data models, schema design standards, indexing strategies, and data governance practices.
- Evaluate application access patterns and recommend optimal NoSQL data structures.
- Design and implement sharding, replication, and clustering solutions.
MongoDB Administration
- Install, configure, upgrade, and maintain MongoDB databases.
- Manage MongoDB Atlas, Enterprise, or Community Edition deployments.
- Perform backup, restore, recovery, and database refresh activities.
- Implement database security controls including authentication, authorization, encryption, and auditing.
Performance Optimization
- Analyze database performance issues and implement tuning recommendations.
- Optimize queries, aggregation pipelines, indexes, and data access patterns.
- Monitor database health, capacity, and resource utilization.
- Drive continuous improvements in database performance and availability.
High Availability & Disaster Recovery
- Design and support MongoDB Replica Sets.
- Implement DR strategies and ensure RPO/RTO objectives are met.
- Conduct failover testing and resiliency validation.
- Support business continuity initiatives.
Cloud & Automation
- Deploy and manage MongoDB databases across Azure, AWS, and GCP.
- Develop Infrastructure as Code (IaC) and database automation solutions.
- Automate provisioning, monitoring, patching, and operational tasks.
- Support containerized deployments using Docker and Kubernetes.
Support & Operations
- Provide L3 support for critical production environments.
- Participate in incident management, root cause analysis, and problem management activities.
- Maintain operational documentation, runbooks, and architecture standards.
- Collaborate with application, cloud, and DevOps teams.
Required Skills
MongoDB Expertise
- Strong hands-on experience with MongoDB Administration.
- Deep understanding of:
o Replica Sets
o Sharding
o MongoDB Atlas
o Aggregation Framework
o Indexing Strategies
o GridFS
o Backup & Recovery
o Security & Auditing
NoSQL Technologies
Experience with one or more:
- MongoDB
- Cassandra
- Couchbase
- DynamoDB
- Cosmos DB
- Redis
Database Engineering
- Data modeling and schema design.
- Database performance tuning.
- Capacity planning.
- Query optimization.
- Data migration and modernization.
Cloud Platforms
Hands-on experience with:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
DevOps & Automation
- Terraform
- Ansible
- Python/Shell Scripting
- Git
- CI/CD pipelines
- Docker
- Kubernetes
Monitoring Tools
Experience with:
- MongoDB Ops Manager
- CloudWatch
- Azure Monitor
- Datadog
- Splunk
- Grafana
- Prometheus
Preferred Qualifications
- MongoDB Certified Developer or DBA.
- Experience with MongoDB Atlas Migration.
- Experience in Database Modernization programs.
- Knowledge of PostgreSQL, MySQL, SQL Server, or Oracle.
- Experience supporting GenAI, Vector Databases, or AI-driven applications.
- Exposure to Kafka and event-driven architectures.
