DevOps Engineer - Remote
YO AI Labs
- Ubicación
- Anywhere
- Publicado
- 9 oct 2026
Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.
Descripción del puesto
La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.
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
KubernetesTerraformCI/CDPythonLinuxDockerGitCloud PlatformsInfrastructure 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.