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Cloud Engineer Cloud Infrastructure Engineer

  • Cloud Engineer Cloud Infrastructure Engineer job type Posted on: Nov 10, 2026
  • Cloud Engineer Cloud Infrastructure Engineer experience level The AES Group
  • Cloud Engineer Cloud Infrastructure Engineer employment type Chicago, Illinois
  • Cloud Engineer Cloud Infrastructure Engineer salary Salary: $73 per hour
  • Cloud Engineer Cloud Infrastructure Engineer employment type Onsite
  • Cloud Engineer Cloud Infrastructure Engineer salary Full-time

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Job Title :

Cloud Engineer Cloud Infrastructure Engineer

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Role: Cloud Engineer 3 - Cloud Infrastructure Engineer
Work Location: Chicago, IL / Dallas, TX / Peoria, IL / Broomfield, CO
Pay:$73/hr on W2


Position Overview

Our client is seeking an experienced Cloud Engineer 3 Cloud Infrastructure Engineer for one of our clients, a leading global organization in the industrial and manufacturing industry.

The selected candidate will join the Cat Digital Horizontal Services team, supporting multiple engineering teams in designing, developing, building, testing, and deploying scalable cloud-based solutions.

The ideal candidate will bring strong hands-on expertise in AWS, Amazon EKS, Kubernetes, Docker, and Infrastructure as Code (IaC), along with practical experience in NVIDIA Run and NVIDIA OSMO workload orchestration technologies.

This role requires an independent, hands-on cloud engineer capable of managing complex infrastructure environments, supporting GPU-enabled workloads, troubleshooting deployment challenges, and collaborating with cross-functional engineering teams.

Key Responsibilities
  • Design, develop, test, and deploy scalable cloud infrastructure and software solutions.

  • Manage and maintain AWS cloud environments, including Amazon EKS and Kubernetes clusters.

  • Develop and maintain Infrastructure-as-Code solutions using Terraform, AWS CloudFormation, and AWS CDK.

  • Build, manage, and optimize CI/CD pipelines using GitHub Actions and YAML-based workflows.

  • Deploy, manage, and support containerized applications using Docker and Kubernetes.

  • Implement and support NVIDIA Run, NVIDIA OSMO, and related workload orchestration platforms.

  • Support NVIDIA GPU-enabled infrastructure and AI/ML workloads.

  • Troubleshoot complex cloud infrastructure, application deployment, networking, and container orchestration issues.

  • Partner with engineering teams to understand infrastructure requirements and provide cloud engineering solutions.

  • Perform integrated testing, debugging, and customer acceptance testing to ensure reliable deployments.

  • Follow cloud engineering best practices and continuously improve infrastructure automation, performance, and reliability.

  • Participate in regular team standups and provide technical guidance to assigned engineering teams.

  • Provide occasional off-hours or weekend support based on business requirements.

Required Qualifications
  • 5 7+ years of overall software development and cloud engineering experience.

  • 5+ years of hands-on experience with Amazon Web Services (AWS).

  • Strong practical experience with Amazon EKS, Kubernetes, and Docker.

  • Hands-on experience with NVIDIA Run and NVIDIA OSMO, or comparable workload orchestration platforms.

  • Strong Infrastructure-as-Code experience using:

    • Terraform

    • AWS CloudFormation

    • AWS CDK

  • Experience developing and maintaining CI/CD pipelines using GitHub Actions.

  • Strong understanding of YAML-based configuration and workflow automation.

  • Experience supporting enterprise cloud infrastructure and containerized environments.

  • Understanding of GPU-enabled infrastructure and workload deployment.

  • Excellent troubleshooting, analytical, and problem-solving skills.

  • Strong verbal and written communication skills.

  • Ability to work independently while collaborating with distributed, cross-functional engineering teams.

Preferred Qualifications
  • Experience working with NVIDIA GPUs and AI/ML workloads.

  • AWS Associate-level or Professional-level certifications.

  • NVIDIA certifications.

  • Experience managing enterprise-scale AWS cloud infrastructure.

  • Strong understanding of cloud architecture, scalability, reliability, and workload orchestration.

  • Experience supporting multiple software engineering teams in an enterprise environment.

Education & Certifications
  • High school diploma or equivalent required.

  • A college degree is not mandatory.

  • AWS Associate or Professional certifications are preferred.

  • NVIDIA certifications are an added advantage.

Jobcon Logo Position Details

Posted:

Nov 10, 2026

Reference Number:

922-15984

Employment:

Full-time

Salary:

$73 per hour

City:

Chicago

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Cloud Engineer 3 - Cloud Infrastructure Engineer
Work Location: Chicago, IL / Dallas, TX / Peoria, IL / Broomfield, CO
Pay:$73/hr on W2


Position Overview

Our client is seeking an experienced Cloud Engineer 3 Cloud Infrastructure Engineer for one of our clients, a leading global organization in the industrial and manufacturing industry.

The selected candidate will join the Cat Digital Horizontal Services team, supporting multiple engineering teams in designing, developing, building, testing, and deploying scalable cloud-based solutions.

The ideal candidate will bring strong hands-on expertise in AWS, Amazon EKS, Kubernetes, Docker, and Infrastructure as Code (IaC), along with practical experience in NVIDIA Run and NVIDIA OSMO workload orchestration technologies.

This role requires an independent, hands-on cloud engineer capable of managing complex infrastructure environments, supporting GPU-enabled workloads, troubleshooting deployment challenges, and collaborating with cross-functional engineering teams.

Key Responsibilities
  • Design, develop, test, and deploy scalable cloud infrastructure and software solutions.

  • Manage and maintain AWS cloud environments, including Amazon EKS and Kubernetes clusters.

  • Develop and maintain Infrastructure-as-Code solutions using Terraform, AWS CloudFormation, and AWS CDK.

  • Build, manage, and optimize CI/CD pipelines using GitHub Actions and YAML-based workflows.

  • Deploy, manage, and support containerized applications using Docker and Kubernetes.

  • Implement and support NVIDIA Run, NVIDIA OSMO, and related workload orchestration platforms.

  • Support NVIDIA GPU-enabled infrastructure and AI/ML workloads.

  • Troubleshoot complex cloud infrastructure, application deployment, networking, and container orchestration issues.

  • Partner with engineering teams to understand infrastructure requirements and provide cloud engineering solutions.

  • Perform integrated testing, debugging, and customer acceptance testing to ensure reliable deployments.

  • Follow cloud engineering best practices and continuously improve infrastructure automation, performance, and reliability.

  • Participate in regular team standups and provide technical guidance to assigned engineering teams.

  • Provide occasional off-hours or weekend support based on business requirements.

Required Qualifications
  • 5 7+ years of overall software development and cloud engineering experience.

  • 5+ years of hands-on experience with Amazon Web Services (AWS).

  • Strong practical experience with Amazon EKS, Kubernetes, and Docker.

  • Hands-on experience with NVIDIA Run and NVIDIA OSMO, or comparable workload orchestration platforms.

  • Strong Infrastructure-as-Code experience using:

    • Terraform

    • AWS CloudFormation

    • AWS CDK

  • Experience developing and maintaining CI/CD pipelines using GitHub Actions.

  • Strong understanding of YAML-based configuration and workflow automation.

  • Experience supporting enterprise cloud infrastructure and containerized environments.

  • Understanding of GPU-enabled infrastructure and workload deployment.

  • Excellent troubleshooting, analytical, and problem-solving skills.

  • Strong verbal and written communication skills.

  • Ability to work independently while collaborating with distributed, cross-functional engineering teams.

Preferred Qualifications
  • Experience working with NVIDIA GPUs and AI/ML workloads.

  • AWS Associate-level or Professional-level certifications.

  • NVIDIA certifications.

  • Experience managing enterprise-scale AWS cloud infrastructure.

  • Strong understanding of cloud architecture, scalability, reliability, and workload orchestration.

  • Experience supporting multiple software engineering teams in an enterprise environment.

Education & Certifications
  • High school diploma or equivalent required.

  • A college degree is not mandatory.

  • AWS Associate or Professional certifications are preferred.

  • NVIDIA certifications are an added advantage.

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