DevOps Engineer - AI Model Evaluator

About the role

We are looking for a DevOps Engineer who will use cutting‑edge AI coding agents to complete and evaluate complex infrastructure engineering tasks. You will review model‑generated implementations across cloud platforms, Kubernetes, CI/CD systems, and automation tools, identifying bugs, edge cases, and reliability issues.

Key responsibilities

• Leverage AI coding agents (e.g., Cursor, Claude Code, Codex, Windsurf, Gemini CLI) to execute infrastructure tasks.
• Review and assess model‑generated code for cloud platforms, Kubernetes, Terraform, and CI/CD pipelines.
• Identify bugs, edge cases, and failure modes in model outputs.
• Compare outputs from multiple frontier models to evaluate strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure scenarios.

Required profile

• 2+ years of professional experience in DevOps, SRE, or Cloud Engineering.
• Hands‑on experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, and observability tooling.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, or Gemini CLI.
• Ability to critically evaluate model‑generated infrastructure solutions.

Required skills

• AWS
• Azure
• Google Cloud Platform (GCP)
• Kubernetes
• Terraform
• CI/CD pipelines
• Observability tooling
• AI coding agents (Cursor, Claude Code, Codex, Windsurf, Gemini CLI)

What we offer

• Contract position with remote work.
• Compensation of $85 per hour.
• Additional $400 per accepted task.