Openshift Subject Matter Expert

Our client, a global life sciences organization, are hiring an experienced OpenShift Subject Matter Expert to join their team in Dublin, Ireland on a contract basis. The successful candidate will design, build and deploy AI-ready infrastructure on OpenShift, delivering robust and scalable platforms capable of supporting AI/ML workloads.

Responsibilities

• Design and deploy AI-ready OpenShift clusters to support AI/ML workloads at scale.

• Build, operate and maintain AI infrastructure on OpenShift.

• Deploy, manage and run AI/ML workloads across OpenShift environments.

• Perform OpenShift and OpenShift AI administration, including platform operations.

• Enable and manage GPU integration within OpenShift e.g. installation, configuration, scheduling.

• Deploy and manage model servers and oversee the full model lifecycle.

• Implement and support MLOps workflows using OpenShift AI.

• Build and maintain CI/CD pipelines using Tekton and Argo CD.

• Implement observability and monitoring solutions (Prometheus, Grafana, Loki, ELK).

• Troubleshoot and resolve complex infrastructure, platform, and workload issues.

Skillset

• Demonstrated hands-on experience administering and operating Red Hat OpenShift platforms.

• Strong Linux systems administration expertise.

• Proficiency in programming and scripting, including Python, Shell and Go.

• Solid knowledge of container technologies and end-to-end container lifecycle management.

• Deep understanding of on-premises infrastructure, including DNS, load balancers, firewalls, enterprise networking and storage platforms.

• Strong knowledge of AI hardware environments, including GPU architecture, scheduling and enablement, as well as server hardware and enterprise storage systems.

• Experience designing and implementing secure platform configurations, including certificate management.

• Excellent troubleshooting, diagnostic and problem-solving skills.

• Exposure to AI/ML models, training techniques, and model types is a plus.

• Experience working across AWS, Azure and on-prem hybrid environments is highly desirable.

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