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DevOps Engineer

Xcelo Group IncChicago, IL🇺🇸United StatesPosted 19 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Hi,



WE are looking for DevOps Engineer

Work Mode: Hybrid, Location: Chicago, IL,

Work Auth: All Work Authorizations accepted (No h1 and no fake profile)



Job Summary

We are seeking an experienced DevOps Engineer with strong AWS cloud, CI/CD, Infrastructure as Code (IaC), and MLOps expertise. The engineer will work closely with digital engineering teams to design, build, test, deploy, and support scalable cloud-based applications and infrastructure.

The ideal candidate will have hands-on experience with AWS, GitHub Actions, CloudFormation, IAM, ECS/EKS, SageMaker, Bedrock, cloud networking, and AI/MLOps environments.

Key Responsibilities

  • Design, build, deploy, and support AWS cloud infrastructure and DevOps solutions.
  • Develop and maintain CI/CD pipelines using GitHub Actions and YAML-based workflows.
  • Create and deploy Infrastructure as Code using AWS CloudFormation templates.
  • Manage AWS IAM roles, policies, permissions, and security configurations.
  • Support AWS MLOps and AI platforms, including SageMaker Notebooks, Amazon Bedrock, ECS, EKS, and related services.
  • Troubleshoot cloud connectivity, networking, firewall, IAM, application, and infrastructure issues.
  • Partner with engineering teams as the DevOps point of contact for cloud deployment and infrastructure support.
  • Support application development, build, testing, deployment, and production troubleshooting activities.
  • Work independently on complex infrastructure and application-related technical issues.
  • Establish and promote DevOps, CI/CD, security, automation, and software quality best practices.
  • Perform integration and acceptance testing to ensure reliable and high-quality deployments.
  • Collaborate with developers, architects, infrastructure, security, and business teams.
  • Provide troubleshooting and production support, including occasional off-hours/weekend support when required.
  • Identify opportunities to improve automation, scalability, reliability, security, and operational efficiency.

Required Qualifications

  • 5 7+ years of DevOps Engineering experience.
  • 5+ years of hands-on AWS cloud experience.
  • Strong experience with GitHub and GitHub Actions.
  • Strong knowledge of YAML-based CI/CD pipelines.
  • Hands-on experience creating and deploying infrastructure using AWS CloudFormation.
  • Strong AWS experience with MLOps and AI services, including:
    • Amazon SageMaker / SageMaker Notebooks
    • Amazon Bedrock
    • ECS
    • EKS
    • IAM
  • Experience managing AWS IAM roles, policies, permissions, and access controls.
  • Strong understanding of AWS networking, firewall, connectivity, and security configurations.
  • Strong troubleshooting and problem-solving skills across cloud and application environments.
  • Excellent technical, verbal, and written communication skills.
  • Ability to collaborate effectively within cross-functional engineering teams.

Preferred Qualifications

  • AWS Associate or Professional-level certification in DevOps, Development, Solutions Architecture, or related areas.
  • Azure Associate or Professional-level cloud certification.
  • Experience with Microsoft Azure cloud infrastructure.
  • Hands-on experience with Azure Resource Manager (ARM) templates.
  • Experience with NVIDIA GPUs for AI/ML workloads.
  • Understanding of GPU security, cybersecurity, governance, and access controls for AI environments.
  • Experience supporting enterprise-scale AI/ML and MLOps platforms.
  • Strong analytical mindset with the ability to diagnose and resolve complex infrastructure issues.

Key Skills

AWS | DevOps | GitHub | GitHub Actions | CI/CD | YAML | AWS CloudFormation | Infrastructure as Code (IaC) | MLOps | Amazon SageMaker | Amazon Bedrock | ECS | EKS | IAM | AWS Networking | AWS Security | Firewall Configuration | Azure | ARM Templates | NVIDIA GPUs | AI/ML Infrastructure | Cloud Security | Troubleshooting

Skills

AWS
MLOps
Azure
CloudFormation
GitHub Actions

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