MongoDB Engineer Automation Focus
Role Summary
We are seeking a skilled MongoDB Engineer with strong expertise in database management and automation. The role requires hands-on experience with MongoDB administration along with automation skills using Ansible Jenkins Python and Terraform to manage deploy and optimize scalable database environments.
Key Responsibilities
Install configure and manage MongoDB clusters (replication sharding backup and recovery)
Monitor database performance optimize queries and implement indexing strategies
Automate MongoDB deployments configurations and maintenance tasks using Ansible Terraform and Python
Build and maintain CI/CD pipelines for database-related processes using Jenkins
Implement backup disaster recovery and high availability strategies for MongoDB
Collaborate with development and DevOps teams for application integration and database automation
Troubleshoot debug and resolve complex database issues
Maintain documentation standards and best practices for MongoDB and automation processes
Required Skills & Qualifications
Strong hands-on experience with MongoDB administration (replica sets sharding backup/restore)
Proficiency in automation tools: Ansible Terraform Python
Experience with CI/CD pipelines using Jenkins or similar tools
Scripting and automation experience to manage database deployments and configurations
Strong knowledge of Linux/Unix environments and database security best practices
Excellent problem-solving analytical and collaboration skills
Good to Have
Experience with cloud-based MongoDB platforms (MongoDB Atlas AWS Azure)
Knowledge of containerized environments (Docker Kubernetes)
Exposure to monitoring and alerting tools (Prometheus Grafana ELK stack)
Understanding of database scaling high availability and disaster recovery strategies
Education & Experience
Bachelors degree in Computer Science Information Technology or equivalent
37 years of experience as a MongoDB Engineer with hands-on automation experience
Education & Experience
Bachelors degree in Computer Science Engineering or equivalent
5 years of experience in DevOps CI/CD or platform engineering roles (preferred)
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