Description We are seeking experienced HPC AI/ML Platform Engineers to support one of the world's largest AI compute environments. This team operates and scales multi-cloud infrastructure powering GPU-intensive model training, deep learning research, and production AI workloads across AWS, CoreWeave, GCP, OCI, and other emerging compute providers. This is not a traditional cloud infrastructure role. The ideal candidate has hands-on experience supporting High-Performance Computing (HPC), deep learning platforms, large-scale GPU environments, and AI/ML training infrastructure where performance, reliability, and efficient resource utilization are mission critical. Engineers on this team will help provision and operate large-scale compute environments, manage Kubernetes-based infrastructure, optimize GPU resource allocation, support Slurm scheduling systems, and build automation that enables rapid AI platform growth. Success in this role requires experience operating production environments that support AI model development, training, and inference workloads at significant scale. MUST HAVE REQUIREMENTS Proven experience supporting High Performance Computing (HPC) environments at enterprise scale Experience supporting AI/ML or Deep Learning infrastructure, including model training workloads Provision HPC infrastructure through CI/CD systems across AWS, CoreWeave, GCP, OCI, and additional cloud providers Experience managing or supporting Slurm-based job scheduling environments Operate and troubleshoot large-scale Kubernetes platforms supporting GPU-intensive workloads Define and maintain SLIs/SLOs, monitoring, alerting, incident response, and post-incident reviews Partner closely with Networking, Storage, Security, and AI/ML Platform teams Experience operating environments where performance, cluster stability, and GPU utilization directly impact business outcomes Requirements 4+ years supporting HPC, AI/ML Infrastructure, Machine Learning Platforms, or Deep Learning environments Strong experience with distributed compute, GPU infrastructure, or large-scale training environments Hands-on Kubernetes experience at scale including: Cluster lifecycle management Scheduler troubleshooting Node pool management Networking and CNI troubleshooting Production upgrades across large fleets Terraform experience building and managing infrastructure through Infrastructure as Code Python experience for platform automation and operational tooling Working knowledge of AWS services including EC2, S3, EFS, and FSx for Lustre Experience with Slurm job scheduling strongly preferred Experience supporting ML training, inference, deep learning, large language model (LLM), or GPU-intensive workloads preferred Skills Kubernetes, terraform, python, slurm, hpc, deep learning, Infrastructure Top Skills Details Kubernetes,terraform,python,slurm,hpc,deep learning Experience Level Expert Level Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $100.00 - $100.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. 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) Job Type & Location This is a Contract position based out of Seattle, WA. Application Deadline This position is anticipated to close on Nov 4, 2026. Workplace Type This is a fully remote 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, 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 Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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.