Remote Senior AWS DevOps Engineer — Terraform & Kubernetes

ImagineX; Atlanta (GA); On-site; USD 130,000 - 180,000; Full time

Job summary

ImagineX is seeking a Senior AWS DevOps Engineer to architect, automate, and optimize cloud infrastructure and CI/CD pipelines for mission‑critical enterprise systems. You will collaborate with software and data engineering teams to deliver secure, scalable solutions in a remote, 100%‑remote role.

You will design scalable AWS architectures with Terraform, manage Kubernetes clusters, and strengthen automation and reliability across multiple projects.

Qualifications

• 5–8+ years of experience in DevOps, Cloud Engineering, or SRE.
• Deep expertise with AWS cloud infrastructure using Terraform.
• Strong experience with GitHub Actions and scripting in Python.
• Experience with Anthropic Claude, including prompt design and model capabilities.
• Ability to hit the ground running with Claude-based tooling for development and troubleshooting.

Responsibilities

• Architect, implement, and maintain AWS infrastructure with Terraform and Kubernetes on‑premises.
• Design, build, and optimize CI/CD pipelines using GitHub Actions for containerized apps.
• Automate provisioning, configuration, and scaling across environments including Kubernetes clusters.
• Deploy, secure, and manage EKS clusters and workloads with lifecycle management.
• Lead automation and DevOps culture across multiple projects and teams.

Skills

AWS Cloud Infrastructure

CI/CD Automation

Kubernetes Architecture

Python scripting

Cloud security

DevOps leadership

Tools

Terraform

GitHub Actions

Anthropic Claude tooling

Docker

Job description

ImagineX is seeking a Senior AWS DevOps Engineer to architect, automate, and optimize cloud infrastructure and CI/CD pipelines for mission‑critical enterprise systems. You will collaborate with software and data engineering teams to deliver secure, scalable solutions in a remote, 100%‑remote role.

You will design scalable AWS architectures with Terraform, manage Kubernetes clusters, and strengthen automation and reliability across multiple projects.