Remote DevOps Engineer — Build AI Infra & CI/CD

YO AI Labs; New York (NY); Remote; USD 124,000 - 207,000; Full time

Job summary

YO AI Labs is seeking an experienced DevOps Engineer on a contract basis for remote work. You will build and evaluate production-style infrastructure and automation for AI systems, focusing on CI/CD, Kubernetes, IaC, Linux, and cloud environments.

Prior AI experience is not required; strong DevOps engineering judgment matters. The role involves designing realistic DevOps tasks, creating reference solutions, reviewing AI-generated work, and maintaining high standards of reliability and

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

Terraform

Ansible

Pulumi

CloudFormation

Job description

YO AI Labs is seeking an experienced DevOps Engineer on a contract basis for remote work. You will build and evaluate production-style infrastructure and automation for AI systems, focusing on CI/CD, Kubernetes, IaC, Linux, and cloud environments.

Prior AI experience is not required; strong DevOps engineering judgment matters. The role involves designing realistic DevOps tasks, creating reference solutions, reviewing AI-generated work, and maintaining high standards of reliability and