AWS Cloud Engineer - Kubernetes & AI Infrastructure

Quantum Technologies. LLC; Peoria (IL); On-site; USD 83,000 - 138,000; Full time

Job summary

Quantum Technologies LLC is seeking an experienced AWS Cloud Engineer to design, deploy, and support cloud infrastructure and container orchestration environments in Peoria, IL. The role focuses on AWS, EKS, Kubernetes, Docker, IaC, and NVIDIA workload orchestration platforms, with a strong emphasis on scalable and reliable systems.

The ideal candidate will implement CI/CD pipelines with GitHub Actions, manage infrastructure with CloudFormation, Terraform, and AWS CDK, and support AI/ML

Qualifications

• 5–7+ years in a Cloud Engineer role.
• 5+ years of hands-on experience with AWS.
• Excellent knowledge of GitHub and GitHub Actions.
• Experience building YAML-based CI/CD pipelines.
• Proficiency with IaC tools: CloudFormation, Terraform, AWS CDK.
• Hands-on with EKS, Kubernetes, Docker.

Responsibilities

• Design, deploy, and manage AWS cloud infrastructure.
• Support EKS, Kubernetes, and Docker environments.
• Implement NVIDIA Run:ai and NVIDIA OSMO orchestration.
• Build YAML CI/CD pipelines using GitHub Actions.
• Manage code in GitHub and version control.
• Develop AWS infrastructure with CloudFormation, Terraform, AWS CDK.
• Support AI/ML workloads on NVIDIA GPU infrastructure.
• Troubleshoot infrastructure, Kubernetes, and workloads.
• Optimize cloud infra for scalability, reliability, performance.
• Collaborate with cross-functional engineering teams.
• Identify improvements and apply cloud best practices.

Skills

Cloud experience

AWS

GitHub Actions

CI/CD pipelines

Cross-functional teamwork

Communication

Tools

AWS CloudFormation

Terraform

AWS CDK

Amazon EKS

Kubernetes

Docker

GitHub

GitHub Actions

NVIDIA Run:ai

NVIDIA OSMO

Job description

Quantum Technologies LLC is seeking an experienced AWS Cloud Engineer to design, deploy, and support cloud infrastructure and container orchestration environments in Peoria, IL. The role focuses on AWS, EKS, Kubernetes, Docker, IaC, and NVIDIA workload orchestration platforms, with a strong emphasis on scalable and reliable systems.

The ideal candidate will implement CI/CD pipelines with GitHub Actions, manage infrastructure with CloudFormation, Terraform, and AWS CDK, and support AI/ML