DevOps Engineer - Remote

• 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.

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., * 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.

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.