Remote DevOps Engineer for AI Infra and Automation

YO AI Labs

Austin (TX)

Remote

USD 90,000 - 130,000

Part time

3 days ago
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Job summary

YO AI Labs is seeking an experienced DevOps Engineer for a contractor role with remote work options. You will design and maintain production-style infrastructure, focusing on CI/CD, Kubernetes, IaC, Linux, and cloud environments.

No AI experience is required; your DevOps expertise and engineering judgment matter most. You will work asynchronously with the team to deliver reliable automation and scalable systems.

Qualifications

  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.

Responsibilities

  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.

Skills

Kubernetes
Terraform
CI/CD
Python
Linux
Docker
Git
Cloud Platforms
Infrastructure as Code

Tools

GitHub Actions
GitLab CI
Jenkins
Docker
Kubernetes
Terraform
Ansible

Job description

YO AI Labs is seeking an experienced DevOps Engineer for a contractor role with remote work options. You will design and maintain production-style infrastructure, focusing on CI/CD, Kubernetes, IaC, Linux, and cloud environments.

No AI experience is required; your DevOps expertise and engineering judgment matter most. You will work asynchronously with the team to deliver reliable automation and scalable systems.

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