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 DevOps teams.

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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

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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.