DevOps Engineer with Linux
Job Summary
We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.
Mandatory Skills
Strong experience in Linux administration and troubleshooting.
Hands-on experience with Git and version control systems.
Strong knowledge of CI/CD pipelines and automation.
Experience with Docker and containerization.
Hands-on experience with Kubernetes and/or OpenShift.
Cloud experience with AWS and/or Microsoft Azure.
Infrastructure as Code (IaC) using Terraform.
Scripting experience using Python and Shell scripting.
Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.
Additional Skills
Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
Understanding of networking concepts and troubleshooting.
Exposure to AIOps and intelligent monitoring solutions.
Experience with certificate management and secrets management.
Knowledge of infrastructure automation, deployment, and performance monitoring.
Strong troubleshooting, problem-solving, and collaboration skills.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
Automate infrastructure provisioning and configuration using Terraform.
Manage cloud infrastructure across AWS and/or Azure.
Develop automation scripts using Python and Shell.
Implement monitoring, logging, and observability solutions.
Integrate security practices into DevOps workflows and CI/CD pipelines.
Manage certificates, secrets, and secure access to infrastructure and applications.
Troubleshoot infrastructure, application, networking, and deployment issues.
Improve system reliability, scalability, security, and operational efficiency.
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