JOB DESCRIPTION:
We are looking for a Cloud DevOps Engineer specializing in OpenShift, Python, and Docker is responsible for designing, implementing, and managing cloud-based applications and services using OpenShift, a containerization platform. This role involves automating deployments, integrating CI/CD pipelines, and ensuring the stability and performance of containerized applications. They also work with scripting languages like Python to automate tasks and manage infrastructure.
Key Responsibilities:
OpenShift Expertise:
Design, deploy, and manage OpenShift clusters, including onboarding nodes, managing user access, and performing software updates.
Containerization:
Work with Docker to create, manage, and deploy containerized applications and microservices.
Automation & Infrastructure:
Develop and implement automation tools (e.g., Ansible, Terraform) to streamline cloud deployments and infrastructure management.
CI/CD Pipelines:
Integrate CI/CD pipelines (e.g., Jenkins, Git) to automate the build, test, and deployment process of containerized applications.
Python Scripting:
Utilize Python scripting to automate tasks, manage infrastructure, and integrate with other tools and services.
Platform Stability & Performance:
Monitor system health, troubleshoot issues, and ensure the stability and performance of the OpenShift platform.
Collaboration & Communication:
Work closely with development teams to understand their needs and provide technical leadership on projects related to container onboarding, server security, and performance optimization.
Documentation & Support:
Maintain documentation related to system configurations, processes, and automation scripts.
Required Skills:
Strong understanding of OpenShift, Kubernetes, and containerization technologies (e.g., Docker).
Proficiency in scripting languages like Python and/or other scripting languages (e.g., Bash, Groovy).
Experience with automation tools (e.g., Ansible, Terraform) and CI/CD pipelines (e.g., Jenkins, Git).
Knowledge of Linux-based systems and cloud platforms (e.g., AWS, Azure, GCP).
Experience with monitoring and alerting tools (e.g., AWS CloudWatch, Zabbix).
Strong problem-solving and troubleshooting skills.
Excellent communication and collaboration skills. "
Any Graduate