Senior Cloud Engineer — AWS, Kubernetes & NVIDIA AI Infra

Cullerton Group; Chicago (IL); Hybrid; USD 107,000 - 145,000; Full time

Benefits offered by this job

Vision insurance

Dental insurance

Health insurance

401k

Holiday pay

Job summary

Cullerton Group is seeking a Cloud Engineer 3 to manage AWS cloud infrastructure, Kubernetes, and NVIDIA AI workload orchestration. You will design, deploy, and automate enterprise-scale environments, supporting multiple engineering teams across hybrid offce locations.

The role emphasizes strong AWS, Kubernetes, and IaC skills, with GitHub Actions CI/CD and NVIDIA workload orchestration experience. Expected to collaborate with cross-functional groups and provide on-site support as required.

Qualifications

• High school diploma or equivalent required; a college degree is not required.
• 5–7 years of relevant software development or cloud engineering experience, including at least 5 years of hands-on AWS cloud experience.
• Minimum 5 years of professional experience in a Cloud Engineer or closely related cloud infrastructure engineering role.
• Strong experience using GitHub and GitHub Actions for source control, YAML-based CI/CD workflows, and deployment automation.
• Hands-on experience writing, deploying, and maintaining AWS cloud infrastructure using AWS CloudFormation, Terraform, or AWS CDK.
• Proficiency with Amazon EKS, Kubernetes, and Docker, including container orchestration, deployment, troubleshooting, and infrastructure management.
• Experience with NVIDIA Run, NVIDIA OSMO, or comparable workload orchestration systems.
• Strong knowledge of cloud infrastructure operations, software development workflows, and application deployment processes.
• Demonstrated ability to troubleshoot complex cloud infrastructure, application, and technical issues independently.
• Strong analytical thinking, problem-solving, and technical communication skills.
• Experience collaborating with cross-functional software engineering, cloud infrastructure, and application development teams.
• Ability to work independently on complex engineering assignments while maintaining high software quality standards.
• Willingness to provide occasional off-shift or weekend technical support when required.
• Ability to work on a hybrid schedule with 2 days onsite per week, plus additional days as requested.

Responsibilities

• Design, develop, provision, and maintain AWS cloud infrastructure using Infrastructure as Code technologies such as AWS CloudFormation, Terraform, or AWS CDK.
• Administer, configure, troubleshoot, and optimize Amazon EKS, Kubernetes, and Docker environments, ensuring scalable and reliable infrastructure for enterprise applications.
• Support NVIDIA Run, NVIDIA OSMO, or comparable workload orchestration platforms used to manage AI and GPU-based computing workloads.
• Develop and maintain GitHub Actions CI/CD pipelines, GitHub repositories, and YAML-based automation workflows to support application builds, testing, infrastructure deployments, and software releases.
• Collaborate with software development and platform engineering teams to troubleshoot complex infrastructure and application issues, support integration and acceptance testing, improve operational reliability, and maintain engineering best practices.

Skills

Cloud engineering

AWS

Kubernetes

Container orchestration

CI/CD

Education

High school diploma or equivalent

Tools

AWS CloudFormation

Terraform

AWS CDK

Amazon EKS

Kubernetes

Docker

GitHub Actions

NVIDIA Run

NVIDIA OSMO

Job description

Cullerton Group is seeking a Cloud Engineer 3 to manage AWS cloud infrastructure, Kubernetes, and NVIDIA AI workload orchestration. You will design, deploy, and automate enterprise-scale environments, supporting multiple engineering teams across hybrid offce locations.

The role emphasizes strong AWS, Kubernetes, and IaC skills, with GitHub Actions CI/CD and NVIDIA workload orchestration experience. Expected to collaborate with cross-functional groups and provide on-site support as required.