Lead DevOps Engineer - On-prem, Linux, Containers - (Healthcare or Highly regulated Industry)

Salary: Competitive (Tax Free) + BenefitsDiscover the opportunityWe are seeking an experienced Lead DevOps Engineer from either healthcare or highly regulated industries to define and oversee platform engineering practices for a premier data and technology organization. This role sets the standards for secure and scalable automated environments supporting data, AI, and application workloads across the enterprise.Discover the roleAs a Lead DevOps Engineer, you will design and operate Kubernetes and OpenShift clusters mainly in on‑prem environments and some hybrid environments. You will own the cluster lifecycle, including upgrades, storage integration, and production troubleshooting to ensure engineering teams can deliver quickly.You will lead a team of 3/4 engineers while enforcing DevOps standards across CI/CD and Infrastructure as Code. You will be responsible for building observability frameworks and partnering with security teams to embed identity and network guardrails.This role requires strong hands‑on experience operating Linux-based systems and Kubernetes/OpenShift clusters in on‑prem and hybrid environments, including ownership of cluster lifecycle, upgrades, storage integration, and production troubleshooting.Discover the responsibilitiesStrong hands‑on experience operating Linux-based systems and Kubernetes/OpenShift clusters in on‑prem and hybrid environmentsChampion DevOps principles within an enterprise hybrid architecture involving Azure cloud and on‑prem storage solutionsStandardize CI/CD frameworks using Azure DevOps and GitHub ActionsEnsure Infrastructure as Code practices such as Terraform and Ansible are applied consistentlyImplement guardrails for container orchestration platforms including scaling and networkingEstablish observability standards for metrics and logs across all workloadsDefine operational SLOs and SLAs for platform services to ensure peak performanceOversee the creation of runbooks and automated remediation processesPartner with DataOps and AI teams to provide secure environments for model training and deploymentOptimize infrastructure utilization to maintain a balance between cost and performanceDiscover the requirements10+ years in engineering or DevOps roles with at least 5 years leading platform teamsDeep expertise in CI/CD automation and container orchestrationAdvanced proficiency in Azure DevOps, GitHub Actions, Terraform, and AnsibleStrong hands‑on knowledge of Kubernetes and OpenShift cluster managementFamiliarity with observability stacks like Prometheus and GrafanaBachelor’s or Master’s degree in Computer Science or a related engineering fieldUnderstanding of hybrid infrastructure and data governance frameworksExceptional communication and leadership skills with a focus on developing others#J-18808-Ljbffr