Senior NoSQL Database Engineer (MongoDB)

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.