Remote DevOps Engineer — CI/CD, Kubernetes & IaC

YO AI Labs

Washington (District of Columbia)

A distancia

USD 83.000 - 165.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

YO AI Labs is seeking a remote DevOps Engineer contractor to design and implement production-like infrastructure for AI systems. You will focus on CI/CD, Kubernetes, IaC, Linux, and cloud environments, ensuring reproducibility and reliability.

Prior AI experience is not required; strong DevOps judgment matters most. You will tackle tasks spanning container orchestration, automation, monitoring, and incident response while delivering clear, validated reference solutions and precise technical

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

Descripción del empleo

YO AI Labs is seeking a remote DevOps Engineer contractor to design and implement production-like infrastructure for AI systems. You will focus on CI/CD, Kubernetes, IaC, Linux, and cloud environments, ensuring reproducibility and reliability.

Prior AI experience is not required; strong DevOps judgment matters most. You will tackle tasks spanning container orchestration, automation, monitoring, and incident response while delivering clear, validated reference solutions and precise technical

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