Aws Devops Jobs Near Me

DevOps Engineer (Advanced)

Location: Columbus, OH 100% Onsite Employment Type W2: Contract-to-Hire (CTH) Required Visa: & GC Education: Bachelor s Degree Required

Position Overview

We are seeking a highly skilled DevOps Engineer (Advanced) to join a core DevOps Platform Engineering team responsible for building scalable cloud platforms, infrastructure automation, CI/CD pipelines, Kubernetes platforms, and reliability solutions. The ideal candidate will have strong hands-on experience with AWS, Kubernetes, Python automation, GitOps, Terraform, Docker, Helm, and deployment strategies.

This is a hands-on engineering role focused on platform development, automation, production reliability, and infrastructure engineering rather than traditional system administration or infrastructure support.

Key Responsibilities

• Design, develop, and maintain scalable, secure, and highly available DevOps and cloud infrastructure solutions.
• Build and automate infrastructure using Terraform and Python-based operational tooling.
• Develop and maintain Kubernetes-based platforms using Kubernetes, Docker, Helm, and GitOps practices.
• Manage and support AWS container services, including EKS, ECS, and ECR.
• Design and implement automated CI/CD pipelines using tools such as Jenkins and GitLab CI.
• Implement GitOps-based deployment and infrastructure management practices.
• Develop Python automation scripts and operational tools to eliminate repetitive manual processes and improve system reliability.
• Implement and manage deployment strategies including rolling, blue/green, and canary deployments.
• Troubleshoot complex application, infrastructure, deployment, and production issues.
• Identify opportunities to automate recurring incidents and improve operational stability.
• Develop monitoring, observability, and reliability solutions using Prometheus and Grafana.
• Analyze application and infrastructure logs to support incident investigation and root-cause analysis.
• Develop and maintain infrastructure supporting ML platforms, model deployment, and automated ML pipelines.
• Collaborate with engineering, architecture, platform, and internal teams to evaluate technical solutions and improve platform capabilities.
• Develop high-quality production code and participate in code reviews, debugging, and technical design discussions.
• Support emerging AI/ML and Agentic AI initiatives, including AI-powered operational automation and intelligent troubleshooting solutions.

Required Skills

• 8+ years of relevant DevOps/Cloud/Platform Engineering experience
• Strong hands-on experience with AWS
• Hands-on experience with AWS EKS, ECS, and ECR
• Strong Kubernetes/K8s administration and production experience
• Strong experience with Docker and containerization
• Hands-on experience with Helm
• Strong understanding and implementation of GitOps
• Strong Python programming and automation experience
• Experience building operations and infrastructure automation tooling
• Hands-on experience with Terraform
• Strong understanding of CI/CD pipelines
• Experience with deployment strategies such as Rolling, Blue/Green, and Canary
• Strong production troubleshooting and technical problem-solving skills
• Ability to develop and maintain secure, high-quality production code

Preferred Skills

• Jenkins
• GitLab CI
• Prometheus
• Grafana
• Monitoring and observability
• Log analysis and production troubleshooting
• Platform Engineering
• Infrastructure as Code
• Multi-cloud environments
• Kubernetes-based ML platforms

AI / ML Preferred Experience

Experience in any of the following will be a strong advantage:

• AI Development
• MLOps
• ML Platform Engineering
• Kubeflow
• Agentic AI
• Generative AI
• RAG applications
• ML model deployment and monitoring
• Automated ML pipelines
• AI-powered operational tooling

Ideal Candidate

The ideal candidate is a hands-on DevOps, Platform, SRE, Cloud, or MLOps Engineer who can write production-quality Python code, automate infrastructure, manage Kubernetes platforms, implement GitOps, and build scalable AWS environments.

Candidates with experience combining DevOps + AWS + Kubernetes + Python + GitOps + Terraform, particularly in AI/ML or MLOps environments, will be highly preferred.

Interview Process

• 2 interview rounds
• Approximately 1 hour
• Live coding required
• Candidates must demonstrate strong hands-on technical and problem-solving abilities.

Important Requirements

• Bachelor s Degree required
• Must be willing to work 100% onsite in Columbus, OH
• Must be available Monday Friday, 9:00 AM 6:00 PM
• Must not require JPMC employer-sponsored immigration support
• Strong hands-on coding and automation experience required