Remote DevOps Engineer for CI/CD & Kubernetes

YO AI Labs; Texas; A distancia; USD 23.000 - 32.000; A tiempo parcial

Descripción de la vacante

YO AI Labs is seeking an experienced DevOps Engineer to design and evaluate production-style infrastructure for AI systems. You will work on CI/CD, Kubernetes, IaC, Linux, and cloud environments, ensuring solutions are reproducible and well-documented.

No AI prior experience required; strong DevOps expertise and engineering judgment matter most. This contractor role is remote with a minimum of 20 hours per week.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Kubernetes

Terraform

CI/CD

Python

Linux

Docker

Git

Cloud Platforms

Infrastructure as Code

Herramientas

GitHub Actions

GitLab CI

Jenkins

Descripción del empleo

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are 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.

Key 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.

Required Skills

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

Required 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.

Preferred Qualifications

• Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
• Background in security, secrets management, or platform reliability.
• Open-source contributions or technical writing experience.
• Previous experience with AI training data or model evaluation.