Senior NoSQL Database Engineer (MongoDB)
SalaryNo pay range posted
LocationChicago, IL
SenioritySenior
Company size1,001–5,000 people
PostedSep 29, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong hands-on experience with MongoDB Administration
Deep understanding of Replica Sets
Deep understanding of Sharding
Deep understanding of MongoDB Atlas
Deep understanding of Aggregation Framework
Deep understanding of Indexing Strategies
Deep understanding of GridFS
Deep understanding of Backup & Recovery
Deep understanding of Security & Auditing
Experience with one or more NoSQL technologies: MongoDB, Cassandra, Couchbase, DynamoDB, Cosmos DB, Redis
Data modeling and schema design
Database performance tuning
Capacity planning
Query optimization
Data migration and modernization
Hands-on experience with Microsoft Azure
Hands-on experience with AWS
Hands-on experience with Google Cloud Platform (GCP)
Experience with Terraform
Experience with Ansible
Experience with Python/Shell Scripting
Experience with Git
Experience with CI/CD pipelines
Experience with Docker
Experience with Kubernetes
Experience with MongoDB Ops Manager
Experience with CloudWatch
Experience with Azure Monitor
Experience with Datadog
Experience with Splunk
Experience with Grafana
Experience with Prometheus
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
Skills
MongoDB
Cassandra
Couchbase
DynamoDB
Cosmos DB
Redis
Azure
AWS
GCP
Terraform
Ansible
Python
Shell Scripting
Git
CI/CD
Docker
Kubernetes
MongoDB Ops Manager
CloudWatch
Azure Monitor
Datadog
Splunk
Grafana
Prometheus
PostgreSQL
MySQL
SQL Server
Oracle
Kafka
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.