Kubernetes / OpenShift AI Platform Engineer

Kubernetes / OpenShift AI Platform Engineer

Location: Plano, TX or Chandler, AZ (Hybrid - On-site 3 Days a Week)
Client: Leading Global Financial Institution

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, vLLM
• Experience with agentic AI systems or intelligent agents
• Familiarity with:
  • Kubernetes Operators and Helm
  • GitOps practices and platform standardization
• Strong understanding of:
  • Observability (Prometheus, Grafana)
  • Kubernetes/OpenShift security models (SCCs, RBAC, etc.)

What You Bring

• Deep understanding of Kubernetes architecture and cluster lifecycle management
• Proven ability to operate in large-scale, fast-paced enterprise environments
• Strong problem-solving and troubleshooting skills across distributed systems
• Experience building platforms that support other engineering teams

Why Join

• Work on cutting-edge AI infrastructure supporting enterprise-scale systems
• Be part of a high-impact engineering team within a leading financial institution
• Opportunity to shape the future of AI platform engineering in a regulated environment

Work Environment

• Hybrid work model (on-site + remote flexibility)
• Fast-paced, collaborative enterprise environment
• Exposure to modern AI/ML and cloud-native technologies

Job Type & Location
This is a Contract position based out of Chandler, AZ.
Pay and Benefits
The pay range for this position is $70.00 - $89.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Chandler,AZ.
Application Deadline
This position is anticipated to close on Jun 26, 2026.

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, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.