Note: The job is a remote job and is open to candidates in USA. YO AI Labs is seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. The role focuses on CI/CD, Kubernetes, infrastructure as code, Linux, cloud environments, and reviewing AI-generated DevOps solutions for accuracy, reliability, and reproducibility.

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
• • 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
• • 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

Benefits

• Remote work

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