Senior DevOps Automation Engineer — AWS/Ansible CI/CD Lead

Intellibee Inc

Raleigh (NC)

On-site

USD 120,000 - 170,000

Full time

5 hours ago
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Benefits offered by this job

Long-Term Stability
Comprehensive Health Coverage
401(k) program

Job summary

Intellibee Inc. is seeking a Senior DevOps Automation Engineer in Raleigh, NC to lead automation for infrastructure provisioning, builds, and deployments.

You will work on AI-ready NC FAST applications, ensuring reliable, scalable CI/CD workflows across environments. The role requires strong Linux, Ansible Tower/AWX, YAML, and infrastructure-as-code skills, with experience in Python, Docker, Kubernetes, Terraform, and AWS.

Qualifications

  • Experience automating Linux OS and software patches across multiple environments.
  • Hands-on experience with Git/Bitbucket or similar source code management tools.
  • Automating build/deploy processes including DB changes using Ansible.
  • Experience developing automation scripts in Python/Bash/Shell.
  • Experience containerizing applications with Docker and managing Kubernetes workloads.

Responsibilities

  • Lead automation efforts for NC FAST infrastructure provisioning, builds, and deployments.
  • Improve CI/CD workflows and deployment reliability across environments.
  • Collaborate with DevOps, application teams, architects, deployment teams, and DBAs to streamline automation tasks.
  • Troubleshoot automation issues and ensure consistent, repeatable deployments.

Skills

Ansible
Git / Bitbucket
Python
Shell scripting
Docker
Kubernetes
Terraform
CI/CD pipelines
AWS

Tools

Ansible Tower/AWX
Jenkins
TeamCity
Docker
Kubernetes
Terraform
AWS

Job description

Intellibee Inc. is seeking a Senior DevOps Automation Engineer in Raleigh, NC to lead automation for infrastructure provisioning, builds, and deployments.

You will work on AI-ready NC FAST applications, ensuring reliable, scalable CI/CD workflows across environments. The role requires strong Linux, Ansible Tower/AWX, YAML, and infrastructure-as-code skills, with experience in Python, Docker, Kubernetes, Terraform, and AWS.

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