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
Company Overview