Role: DevOps Engineer (Cloud Native / MLOps)
Location: Columbus, OH (Hybrid/Onsite)
Job Type: Contract to Hire
📌 About the Role
Looking for a highly skilled DevOps Engineer with a strong background in cloud-native technologies, Kubernetes, and GitOps practices. In this role, you will design, build, and maintain scalable infrastructure while also contributing to the development of modern ML platforms and automation systems.
This is a hands-on engineering role requiring strong problem-solving skills and the ability to work beyond conventional approaches to deliver innovative, reliable solutions.
✅ Key Responsibilities
- Design and implement cloud-native infrastructure using AWS (EKS, ECS, ECR)
- Build and manage Kubernetes-based platforms using Docker and Helm
- Develop and maintain GitOps workflows for continuous delivery
- Write Python-based automation tools to improve operational efficiency
- Create and maintain infrastructure using Terraform (advanced level)
- Build scalable ML infrastructure for model training, deployment, and monitoring
- Develop and optimize CI/CD pipelines (Jenkins, GitLab CI)
- Implement monitoring and observability using Prometheus and Grafana
- Identify and automate solutions for recurring production issues
- Conduct technical evaluations of tools, vendors, and architectures
- Ensure systems are secure, scalable, and production-ready
🔧 Required Skills & Experience
- Strong experience with Kubernetes, Docker, and container orchestration
- Hands-on expertise in AWS (EKS, ECS, ECR)
- Deep understanding of GitOps practices
- Advanced proficiency with Terraform
- Strong programming skills in Python (automation, scripting, tooling)
- Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub)
- Solid understanding of cloud-native architectures
- Bachelor’s degree in Computer Science, Engineering, or related field (required)
⭐ Nice to Have
- Experience with MLOps / ML platform engineering
- Familiarity with Kubeflow or similar frameworks
- Knowledge of AI/ML development workflows
- Experience with multi-cloud environments
- Advanced monitoring and observability expertise
- Understanding of modern deployment strategies (canary, blue-green, etc.)
