DevOps Engineer 3

Role: DevOps Engineer 3

Location: Chicago, IL / Dallas, TX (Hybrid - 2 days)




Let's create our future together at The AES Group!




About The AES Group
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.

Position Overview

Client is seeking a DevOps Engineer 3 to join the DevOps Engineering team within Client Digital. This role will support engineering teams in designing, building, testing, deploying, and maintaining cloud-based solutions.

The ideal candidate will have strong hands-on experience with AWS, GitHub Actions, CI/CD, Infrastructure as Code, CloudFormation, IAM, and AWS MLOps/AI services . The role requires an independent problem solver who can work closely with cross-functional engineering teams and provide technical support for complex cloud and infrastructure environments.

Key Responsibilities

• Design, develop, test, and deploy software systems, applications, and cloud infrastructure.
• Independently manage complex application, technical, and infrastructure-related assignments.
• Troubleshoot and resolve complex application, cloud, and infrastructure issues, including occasional off-shift or weekend support.
• Develop and maintain scalable cloud infrastructure supporting multiple applications and engineering teams.
• Build and maintain CI/CD pipelines using GitHub and GitHub Actions.
• Develop and deploy Infrastructure as Code (IaC) using AWS CloudFormation.
• Manage and troubleshoot AWS IAM , cloud connectivity, and related infrastructure issues.
• Support engineering teams with CI/CD, cloud deployment, and Infrastructure as Code activities.
• Work with AWS MLOps and AI services, including SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM .
• Maintain high standards for software and infrastructure quality through effective engineering practices.
• Participate in integrated testing and customer acceptance testing to ensure quality and timely delivery.
• Collaborate with end users, internal customers, and engineering teams to support application development, debugging, testing, interoperability, and completeness.
• Identify opportunities for technical improvement, scalability, and process optimization.
• Participate in regular DevOps team standups and serve as a technical point of contact for assigned Digital engineering teams.
• Perform additional duties as assigned by Caterpillar management.

Required Qualifications

• 5 7+ years of DevOps or software development experience , preferably in a DevOps Engineer role.
• 5+ years of hands-on AWS cloud experience .
• Strong experience with GitHub and GitHub Actions .
• Proficiency developing YAML-based CI/CD pipelines .
• Strong experience creating and deploying AWS infrastructure using CloudFormation .
• Hands-on experience with AWS MLOps and AI services , including:
  • Amazon SageMaker
  • Amazon Bedrock
  • Amazon ECS/EKS
  • AWS IAM
• Strong troubleshooting and problem-solving skills.
• Excellent interpersonal and technical communication skills.
• Ability to work effectively with cross-functional engineering and technology teams.
• High school diploma required; college degree is not required.

Preferred Qualifications

• AWS or Azure Associate/Professional-level certification in DevOps, Development, or Architecture.
• Experience with AWS firewall and network configuration .
• Experience with Microsoft Azure cloud infrastructure and Azure Resource Manager (ARM) templates .
• Experience working with NVIDIA GPUs for AI use cases, particularly from a cybersecurity and governance perspective.
• Strong analytical mindset and ability to troubleshoot complex technical issues.
• Excellent verbal and written communication skills.
• Experience supporting scalable cloud environments and enterprise engineering teams.