Senior NoSQL Database Engineer (MongoDB)

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 Dev Ops 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: MongoDBCassandra Couchbase DynamoDBCosmos DBRedis 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 AzureAWSGoogle Cloud Platform (GCP) Dev Ops & Automation Terraform Ansible Python/Shell Scripting GitCI/CD pipelines Docker Kubernetes Monitoring Tools Experience with: MongoDB Ops Manager Cloud Watch Azure Monitor Datadog Splunk Grafana Prometheus ________________________________________