Remote DevOps Engineer for AI Infra & CI/CD

YO AI Labs; Miami (FL); Remote; USD 69,000 - 138,000; Part time

Job summary

YO AI Labs is seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required - your DevOps expertise and engineering judgment are what matter most.

Qualifications

• 3+ years of professional experience in DevOps, SRE, Platform, or Infra 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

Terraform

Ansible

Pulumi

CloudFormation

Job description

YO AI Labs is seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required - your DevOps expertise and engineering judgment are what matter most.