HPC/AI Cloud Engineer

TEKsystems • Farmington, CT

5d • $75 - $85 • Remote

About The Position

The Enterprise Cloud Platform team is seeking a Platform Engineer focused on building, automating, and optimizing cloud infrastructure for AI, Machine Learning, Generative AI, and High-Performance Computing (HPC) workloads. This role will design and operate scalable cloud platforms that provide GPU compute, high-performance storage, advanced networking, and cloud-native services to support enterprise AI initiatives.

Requirements

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or Information Technology.
• 5+ years of experience supporting cloud infrastructure and platform engineering.
• Experience with OCI, Kubernetes, Linux, and Terraform.
• Experience supporting AI/ML, GPU, or HPC environments.
• Strong scripting and automation skills using Python, Bash, or similar languages.
• Knowledge of cloud networking, security, and platform operations.

Nice To Haves

• Experience with NVIDIA GPUs, CUDA, and accelerated computing platforms.
• Experience with OCI AI Infrastructure, OCI Supercluster, or similar cloud AI services.
• Familiarity with PyTorch, TensorFlow, Hugging Face, or MLOps platforms.
• Experience with HPC schedulers such as Slurm.
• Cloud certifications (Oracle, AWS, Azure, or GCP).
• Rescale HPC platform
• Domino AI orchestration
• NVIDIA GPUs
• CUDA
• Slurm
• OCI AI Infrastructure
• PyTorch
• TensorFlow
• Docker
• ArgoCD
• MLflow
• Prometheus
• Grafana

Responsibilities

• Design, deploy, and support AI and HPC infrastructure in Cloud environments (OCI, Azure, AWS).
• Build and optimize GPU-enabled platforms for model training, inference, and large-scale compute workloads.
• Engineer and administer Kubernetes-based container platforms.
• Develop Infrastructure as Code (IaC) solutions using Terraform and automation tools.
• Optimize performance across compute, storage, networking, and orchestration layers.
• Implement monitoring, observability, security, and operational best practices.
• Partner with data science, engineering, and architecture teams to enable AI and analytics workloads.
• Support platform upgrades, incident response, capacity planning, and disaster recovery.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree