Platform Engineer: Cloud, Kubernetes & Automation

Insight Global; Columbus (OH); On-site; USD 90,000 - 103,000; Full time

Job summary

Insight Global is seeking a Platform Engineer with a strong development background to design, build, and operate scalable platforms. You will work across AWS, CI/CD pipelines, containerized environments, and application development, building reusable libraries and automation frameworks.

Responsibilities include platform administration, modernizing deployment pipelines, and leading migrations to Kubernetes. Expect collaboration across engineering teams and a focus on automation and reliability.

Qualifications

• Solid development background with experience in Java, Node.js, and Python.
• Scripting skills (Bash, Python, or similar) and Linux administration.
• Hands-on experience managing AWS cloud environments and CI/CD tooling, especially Jenkins.
• Familiarity with containerization and Kubernetes; experience migrating to container platforms.
• Experience contributing to or maintaining open‑source projects and automation frameworks.

Responsibilities

• Perform platform administration and DevOps activities: patching, monitoring, and performance optimization.
• Design, maintain, and enhance CI/CD pipelines using Jenkins and automation for platform workflows.
• Manage AWS resources and lead migrations from EC2-based deployments to Kubernetes environments.
• Develop common libraries and shared services for engineering teams; support Spring and Node.js apps and React front-ends.

Skills

Java

Node.js

Python

Scripting

AWS cloud

CI/CD

Jenkins

Kubernetes

Linux

Automation

Tools

Jenkins

Terraform

CloudFormation

Job description

Insight Global is seeking a Platform Engineer with a strong development background to design, build, and operate scalable platforms. You will work across AWS, CI/CD pipelines, containerized environments, and application development, building reusable libraries and automation frameworks.

Responsibilities include platform administration, modernizing deployment pipelines, and leading migrations to Kubernetes. Expect collaboration across engineering teams and a focus on automation and reliability.