DevOps Automation Engineer with Red Hat Enterprise Linux (RHEL)

Job Summary

We are looking for an experienced DevOps Automation Engineer with deep expertise in Red Hat Enterprise Linux (RHEL) systems administration, Ansible automation, and Terraform-based infrastructure provisioning. In this role, you will automate and streamline the deployment of infrastructure and applications, develop RESTful APIs, and support AI-driven platforms by ensuring a robust, scalable, and efficient DevOps environment.

Key Responsibilities

• Administer and manage Red Hat Enterprise Linux (RHEL) environments, ensuring their stability, security, and high availability

• Design, implement, and manage automation processes using Ansible to streamline system configurations and deployments

• Develop and maintain Python scripts for automating system management tasks and integrating with other tools

• Provision and manage infrastructure as code using Terraform

• Design and build REST APIs and RESTful services to support system and application integration, particularly with AI-driven workloads

• Automate routine system maintenance, deployments, and operational workflows

• Collaborate closely with DevOps, AI/ML, and application teams to design and support cloud-native and on-prem systems

• Troubleshoot and resolve infrastructure and automation issues across systems

• Enforce best practices for system security, performance, and monitoring

• Produce clear technical documentation for automation workflows, system configurations, and processes

Required Skills & Qualifications

• Strong experience with Red Hat Enterprise Linux (RHEL) system administration, including installation, configuration, and troubleshooting

• Hands-on expertise in Ansible for automating configuration management and deployment

• Proficiency in Python for scripting and tool development

• Experience using Terraform for infrastructure provisioning and management

• Solid understanding of REST APIs and service-oriented architecture

• Familiarity with DevOps best practices and CI/CD pipelines

• Strong analytical and problem-solving skills with a proactive approach to system reliability

Preferred Skills

• Experience working with AI/ML platforms or integrating AI-driven applications

• Exposure to cloud environments (AWS, Azure, Google Cloud Platform)

• Familiarity with version control tools like Git

• Knowledge of containerization technologies like Docker and Kubernetes

Education & Certifications (Optional)

• Bachelor's degree in computer science, Engineering, or related field

• Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) is a plus

• Certifications in DevOps, Terraform, or AWS/Azure/GCP are beneficial