Job
Description
We are seeking an experienced MongoDB Database Administrator (DBA) to take ownership of our database environments, focusing on high availability, automation, real-time data synchronization, and data lifecycle management. This role requires deep knowledge of MongoDB, Kafka, Ansible, and a strong commitment to data governance practices, including archiving and data masking. Responsibilities: Deploy, configure, and maintain MongoDB databases across development, staging, and production. Design and manage distributed data synchronization using MongoDB replication/sharding and Kafka-based real-time pipelines. Build and maintain automated deployment and configuration scripts using Ansible. Develop and implement database archiving strategies to manage storage efficiently while retaining data integrity and compliance. Apply data masking techniques for sensitive datasets to support secure testing, development, and analytics. Monitor system health and performance, implement optimizations, and proactively address issues. Enforce database security, including access controls, encryption, and role-based permissions. Create, document, and maintain database procedures, standards, and operational runbooks. Participate in on-call rotations and support incident resolution as needed. Qualifications: 4+ years of experience as a MongoDB DBA in production environments. Deep expertise in MongoDB architecture, replication, sharding, backup, and recovery. Strong hands-on experience with Kafka for event-driven data architecture. Proven experience with Ansible for automation of database tasks and infrastructure provisioning. Knowledge and implementation experience of database archiving and data masking. Proficient with shell scripting and Linux-based environments. Experience with MongoDB Atlas and hybrid cloud/on-premise environments. Familiar with monitoring/alerting tools like Prometheus, Grafana, or Ops Manager. Strong analytical and communication skills. Nice to Have: MongoDB Certified DBA Associate or higher. Exposure to containerized environments (Docker, Kubernetes) and Infrastructure as Code (Terraform, etc.). Familiarity with other database technologies such as PostgreSQL, Redis, or Cassandra.
