DevOps Engineer
Quick Overview
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
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