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 Google Cloud Platform.
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 (Google Cloud Platform)
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.