OpenShift Engineer AI Platform
Why This Role Stands Out
You'll have the opportunity to architect and manage cutting-edge AI platforms on OpenShift, a role perfect for those passionate about cloud-native AI and seeking to expand their expertise in a dynamic hybrid environment. If you thrive on deploying complex solutions, optimizing performance, and contributing to the future of AI infrastructure, this position offers significant growth and impact. Apply today to join a forward-thinking team and shape the future of AI deployment!
Quick Overview
Job Description
Job Role: OpenShift Engineer AI Platform (Red Hat AI Operator)
Location: Irving, TX
Job Description:
Role Summary
Seeking an experienced OpenShift Engineer with expertise in deploying and managing AI/ML applications on Red Hat OpenShift. The candidate should have hands-on experience with Red Hat OpenShift AI (RHOAI), Red Hat AI Operators, Kubernetes, GPU-enabled environments, and MLOps platforms.
Key Responsibilities:
- Deploy, administer, and optimize OpenShift clusters for AI workloads.
- Install and manage Red Hat AI Operators and OpenShift AI components.
- Support AI model training, serving, and inference environments.
- Manage GPU-based infrastructure using NVIDIA GPU Operator.
- Automate deployments using GitOps, ArgoCD, Ansible, and Terraform.
- Monitor, troubleshoot, and ensure platform security and performance.
Required Skills:
- Red Hat OpenShift (OCP) 4.x
- Red Hat OpenShift AI (RHOAI) / Red Hat AI Operator
- Kubernetes, Docker/Podman
- AI/ML platform operations and model serving
- NVIDIA GPU Operator and GPU workload management
- ArgoCD, GitOps, Ansible, Terraform
- Linux (RHEL) Administration
Preferred:
- Experience with GenAI/LLM deployments, KServe, Model Mesh, and MLOps platforms.
- OpenShift or Kubernetes certifications.
Skills
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