Senior AWS DevOps Engineer

SMX USA

  • Chicago, IL
  • 6 days ago

    Highlights

    Excellent verbal and written communication skills, with the ability to collaborate across teams and contribute to scalable cloud solutions. Strong experience with AWS MLOps and AI services , including Amazon SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM .

    Numbers & Facts

    LocationChicago, IL

    Description

    Role: Senior AWS DevOps Engineer
    Location: Chicago, IL — Local Candidates Only
    Experience: 8+ years
    Employment Type: Contract

    Candidate Requirements

    • Local candidates only.
    • Candidates must be genuine consultants with a verifiable LinkedIn profile that aligns with their resume and work history.
    • Candidates should have 8+ years of experience in the highlighted/required skill set.
    • Strong communication and interpersonal skills are required.

    Education

    • Bachelor's degree in Information Technology, Management Information Systems, Computer Science, or a related field.

    Required Qualifications

    • 8+ years of experience working as a DevOps Engineer.
    • 5+ years of hands-on experience with Amazon Web Services (AWS) cloud environments.
    • Strong proficiency with GitHub and GitHub Actions, including source control and YAML-based CI/CD pipelines.
    • Hands-on experience designing, writing, deploying, and managing AWS infrastructure using AWS CloudFormation.
    • Strong experience with AWS MLOps and AI services, including Amazon SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM.
    • Strong understanding of DevOps practices, cloud infrastructure, automation, CI/CD, and infrastructure deployment.
    • Excellent interpersonal and technical communication skills, with the ability to collaborate effectively across cross-functional teams.

    Preferred / Nice-to-Have Qualifications

    • Associate- or Professional-level AWS and/or Azure certifications related to DevOps, Development, or Cloud Architecture.
    • Experience with AWS firewall, security, and network configuration.
    • Experience with Microsoft Azure cloud infrastructure, including Azure Resource Manager (ARM) templates.
    • Experience working with NVIDIA GPUs for AI/ML use cases, particularly from a cybersecurity, governance, and compliance perspective.
    • Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues.
    • Excellent verbal and written communication skills, with the ability to collaborate across teams and contribute to scalable cloud solutions.

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