OpenShift Cluster Engineer: Scale, Automate & Deploy

Gilder Search Group; McLean (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

Gilder Search Group is seeking a Red OpenShift Engineer to deploy, manage and scale OpenShift and Kubernetes clusters in a demanding environment. The role emphasizes automation, infrastructure-as-code, and strong scripting skills to streamline provisioning and deployments.

You will integrate OpenShift with CI/CD tooling (Jenkins, GitHub, Maven) and ensure robust monitoring, security, and reliable operation of containerized workloads.

Qualifications

• 5+ years managing and administering OpenShift clusters.
• 4+ years scripting in Bash, KSH, Python.
• 4+Years working with Terraform, Ansible & CI/CD pipelines, GitOps practices (Jenkins, GitLab, Maven).
• 4 years of networking in containerized environments, load balancing, and ingress/egress control.
• 5+ years IT problem-solving experience with complex troubleshooting.

Responsibilities

• Deploy, manage and scale Kubernetes and OpenShift clusters.
• Configure, manage and monitor containerized applications on Kubernetes/OpenShift.
• Automate cluster provisioning and deployment pipelines using Ansible, Terraform, Helm.
• Integrate Kubernetes/OpenShift with CI/CD tools like Jenkins and GitHub.
• Document and troubleshoot issues with containerized applications.

Skills

OpenShift cluster management

Kubernetes

Scripting: Bash, Python, sh

CI/CD pipelines

Infrastructure as code

Networking in containers

Jenkins/GitLab/Maven

Tools

OpenShift

Kubernetes

Jenkins

GitHub

GitLab

Maven

Terraform

Ansible

Helm

Job description

Gilder Search Group is seeking a Red OpenShift Engineer to deploy, manage and scale OpenShift and Kubernetes clusters in a demanding environment. The role emphasizes automation, infrastructure-as-code, and strong scripting skills to streamline provisioning and deployments.

You will integrate OpenShift with CI/CD tooling (Jenkins, GitHub, Maven) and ensure robust monitoring, security, and reliable operation of containerized workloads.