About The Position

We are seeking a Senior NoSQL Database Engineer with expertise in MongoDB to join our Database Architecture & Engineering team. This role involves designing and implementing scalable MongoDB database architectures, establishing data models, schema design standards, indexing strategies, and data governance practices. You will evaluate application access patterns and recommend optimal NoSQL data structures, as well as design and implement sharding, replication, and clustering solutions. Responsibilities also include MongoDB administration, performance optimization, ensuring high availability and disaster recovery, cloud deployment and automation, and providing L3 support for critical production environments. Collaboration with application, cloud, and DevOps teams is essential.

Requirements

  • Strong hands-on experience with MongoDB Administration.
  • Deep understanding of Replica Sets, Sharding, MongoDB Atlas, Aggregation Framework, Indexing Strategies, GridFS, Backup & Recovery, Security & Auditing.
  • Experience with one or more NoSQL technologies: MongoDB, Cassandra, Couchbase, DynamoDB, Cosmos DB, Redis.
  • Database Engineering skills including data modeling and schema design, database performance tuning, capacity planning, query optimization, and data migration and modernization.
  • Hands-on experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP).
  • DevOps & Automation skills including Terraform, Ansible, Python/Shell Scripting, Git, CI/CD pipelines, Docker, Kubernetes.
  • Experience with monitoring tools: MongoDB Ops Manager, CloudWatch, Azure Monitor, Datadog, Splunk, Grafana, Prometheus.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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