OpenShift Engineer
  • Tanisha Systems, Inc
134 Days Ago
NA
NA
Irving-TX
6-9 Years
Required Skills: AWS, Azure, GCP, Bash, Python, Ansible, Terraform
Job Description
OpenShift Engineer:
Key Responsibilities:
  • Design, deploy, and manage OpenShift clusters, ensuring high availability, performance, and scalability.
  • Work with development teams to containerize applications and implement CI/CD pipelines for automated testing and deployment.
  • Monitor and troubleshoot OpenShift environments, identifying and resolving issues to ensure optimal performance.
  • Implement security best practices for containerized applications and manage user access control and permissions within OpenShift.
  • Collaborate with IT security teams to incorporate security policies and procedures into the OpenShift platform.
  • Document OpenShift configurations, processes, and procedures, ensuring that best practices are followed.
  • Stay up-to-date with the latest OpenShift features and Kubernetes ecosystem developments, recommending improvements to our infrastructure as appropriate.
Qualifications:
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Extensive experience with Red Hat OpenShift and containerization technologies such as Docker.
  • Strong understanding of Kubernetes and its application within OpenShift for orchestration and management of containerized applications.
  • Proficiency in CI/CD tools and practices, with experience implementing automated pipelines in an OpenShift environment.
  • Knowledge of Linux/Unix administration, scripting languages (e.g., Bash, Python), and infrastructure as code (IaC) tools (e.g., Ansible, Terraform).
  • Familiarity with cloud services (AWS, Azure, GCP) and integrating them with OpenShift.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative team environment.
  • Strong communication and documentation abilities.
Preferred Qualifications:
  • OpenShift certification or similar credentials.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.

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