DevOps Engineer – OpenShift

Matlen Silver; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Matlen Silver is seeking a DevOps Engineer to configure and maintain Red Hat OpenShift containers and WAS environments. You will support builds and deployments across releases, monitor applications, troubleshoot issues, and move solutions to production.

You will collaborate with cross-functional teams in an Agile environment to implement design-based solutions. You will configure and manage Kubernetes/OpenShift, maintain WAS servers, build processes, and CI/CD pipelines.

Qualifications

• Hands-on experience with OpenShift, Kubernetes and Docker.
• Experience with DevOps practices, CI/CD pipelines, and deployment automation.
• Experience with AI-powered development tools and AI tooling (Copilot, generative AI).
• Experience with Bitbucket, Ansible, Jenkins, Git, and monitoring/logging tools such as Splunk and Eclipse.
• Familiarity with code review and static analysis tools such as SonarQube and Crucible.
• Experience building or maintaining solutions on AWS, Azure, and/or Google Cloud Platform.
• Strong troubleshooting, communication, and collaboration skills in Agile/Scrum environments.
• Master’s degree in Computer Science, Information Technology, Engineering, or related field.

Responsibilities

• Configure, deploy, administer, and troubleshoot Kubernetes and OpenShift.
• Maintain containerized apps, WAS servers, build processes, and deployment plans.
• Build and improve CI/CD pipelines and automation using Bitbucket, Ansible, Jenkins, and Git.
• Develop automation scripts and IaC for provisioning, deployment, and operations.
• Support Java/J2EE enterprise applications and use monitoring tools to resolve issues.
• Design and maintain cloud-native solutions while monitoring performance, availability, scalability, and cost.

Skills

OpenShift

Kubernetes

Docker

DevOps practices

CI/CD pipelines

Deployment automation

AI tools

Generative AI

Troubleshooting

Communication

Collaboration

Agile/Scrum

Education

Master’s degree in Computer Science/IT/Engineering

Tools

Bitbucket

Ansible

Jenkins

Git

Splunk

Eclipse

SonarQube

Crucible

AWS

Azure

GCP

Job description

We are seeking a DevOps Engineer to configure and maintain Red Hat OpenShift containers and WebSphere Application Server (WAS) environments. In this role, you will support application builds and deployment plans across multiple releases, monitor applications, troubleshoot issues, and help move solutions into production. You will work with cross-functional teams in an Agile environment to implement solutions based on design requirements.

Responsibilities

• Configure, deploy, administer, and troubleshoot Kubernetes and OpenShift environments, including end-to-end environment setup.
• Maintain containerized applications, WAS servers, build processes, and deployment plans.
• Build and improve CI/CD pipelines and automation using tools such as Bitbucket, Ansible, Jenkins, and Git.
• Develop and maintain automation scripts and Infrastructure-as-Code solutions for provisioning, deployment, and operations.
• Support Java/J2EE enterprise applications and use monitoring and development tools to identify and resolve issues.
• Design and maintain cloud-native solutions while monitoring infrastructure performance, availability, scalability, and cost.

Required qualifications

• Hands-on experience with Red Hat OpenShift, Kubernetes, and Docker.
• Experience with DevOps practices, CI/CD pipelines, and deployment automation.
• Experience with Microsoft Copilot, AI agents, Generative AI solutions, or similar AI-powered development tools.
• Experience with Bitbucket, Ansible, Jenkins, Git, and tools such as Splunk and Eclipse.
• Familiarity with code review and static analysis tools such as SonarQube and Crucible.
• Experience building or maintaining solutions on AWS, Azure, and/or Google Cloud Platform.
• Strong troubleshooting, communication, and collaboration skills and experience working in Agile or Scrum teams.
• Master’s degree in Computer Science, Information Technology, Engineering, or a related field.