Job Description:
Client is 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.