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# DevOps Engineer

- **Company:** THE JUDGE GROUP, INC.
- **Location:** Columbus, OH, United States
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Delivery, Software Debugging, DevOps, Monitoring of Systems, Python (Programming Language), Prometheus, Azure Machine Learning, Trusted Systems, Google Cloud, Cloud Platform System, Delivery Pipeline, Grafana, Multi-Cloud, Reliability of Systems, Gitlab-ci, Git Flow, Kubernetes, Information Technology, Deployment Automation, Machine Learning Operations, Terraform, Docker, Jenkins
- **Published:** June 19, 2026
- **Apply:** https://www.dice.com/job-detail/1cc864d8-c606-462f-a33f-8360b67854d8

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related field (required)
 * Hands-on experience with Kubernetes and Docker in production environments
 * Strong knowledge of GitOps practices (e.g., ArgoCD, Flux)
 * Expertise in Terraform (Infrastructure as Code)
 * Experience with AWS services, especially EKS, ECS, and ECR
 * Proficiency in Python for automation and tooling
 * Experience building and managing CI/CD pipelines
 * Strong understanding of cloud-native architecture and deployment strategies
 * Solid debugging, troubleshooting, and system design skills

Preferred Qualifications (Nice to Have)

 * Experience with MLOps or AI/ML platforms (Kubeflow, model pipelines)
 * Knowledge of deployment strategies (Blue/Green, Canary, Rolling)
 * Familiarity with multi-cloud environments (AWS, Azure, Google Cloud Platform)
 * Experience with advanced monitoring and observability practices
 * Exposure to agentic/AI-driven automation systems

## Description

Our client is seeking a highly skilled DevOps Engineer to design, build, and maintain cloud-native infrastructure and automation solutions. This role requires strong expertise in Kubernetes, GitOps, Terraform, and AWS, along with experience developing automation tools using Python.

You will play a critical role in enabling scalable, reliable, and secure systems, including support for modern ML platforms and pipelines., * Design, develop, and maintain cloud-native infrastructure using Kubernetes, Docker, and AWS services (EKS, ECS, ECR)

 * Implement and manage GitOps workflows for continuous deployment and environment consistency
 * Build and maintain Infrastructure as Code (IaC) using Terraform
 * Develop Python-based automation tools to improve operational efficiency and system reliability
 * Design and support CI/CD pipelines using tools such as Jenkins and GitLab CI
 * Deploy and manage applications in Kubernetes environments using Helm
 * Implement monitoring and observability using Prometheus and Grafana
 * Identify and automate remediation of recurring operational issues
 * Collaborate with cross-functional teams to review architecture, evaluate tools, and drive technical decisions
 * Contribute to the design and development of scalable ML platforms, including training, deployment, and monitoring pipelines


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