Kubernetes / OpenShift AI Platform Engineer

Overview

We are seeking a Kubernetes / OpenShift AI Platform Engineer to design, build, and optimize enterprise-scale infrastructure supporting advanced AI/ML workloads. This role sits at the intersection of platform engineering, DevOps, and AI infrastructure, enabling model development, training, and real-time inference in a highly regulated environment.

You will work cross-functionally with AI/ML engineers, data scientists, DevOps, and infrastructure teams to deliver scalable, secure, and high-performance AI platforms.

Key Responsibilities

• Design and manage Kubernetes and OpenShift clusters at enterprise scale
• Build and optimize infrastructure for AI/ML model training and inference workloads
• Develop automation for deployment, configuration, patching, and platform operations using Python
• Support GPU-enabled workloads and high-performance compute environments
• Implement and maintain CI/CD pipelines, GitOps workflows, and infrastructure-as-code (Terraform)
• Ensure platform reliability, scalability, and performance optimization
• Implement security best practices including RBAC, network policies, and secrets management
• Enable observability through Prometheus, Grafana, and logging frameworks
• Collaborate with engineering teams to standardize and streamline AI platform environments

Required Qualifications

• 5-7+ years of experience with Kubernetes (production environments)
• Strong experience with Red Hat OpenShift in enterprise environments
• 5-7+ years of hands-on experience with Docker and containerization technologies
• Strong proficiency in Python for automation and platform engineering
• Solid experience working in Linux environments (systems, networking, storage)
• Experience with AWS or other cloud platforms
• Hands-on experience with Terraform and CI/CD tools (e.g., Jenkins)
• Experience supporting AI/ML platforms, model deployment pipelines, or similar workloads

Preferred Qualifications

• Experience with AI/ML frameworks such as PyTorch, TensorFlow, Triton Inference Server, and vLLM
• Experience with agentic AI systems or intelligent agents
• Familiarity with Kubernetes Operators, Helm, and GitOps practices
• Strong understanding of observability (Prometheus, Grafana) and security models (SCCs, RBAC)

Work Environment & Benefits

• Location: Chandler, AZ (Hybrid - On-site 3 Days a Week)
• Pay: $70.00 - $89.00/hr
• Benefits: Medical, dental, vision, 401(k), disability, and more (eligibility requirements apply)
• Contract: This is a contract position.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500.

TEKsystems is an equal opportunity employer.