DevOps Engineer – AI Model Evaluator

About the role

We are looking for a DevOps Engineer who will evaluate AI‑generated infrastructure code. You will work with frontier AI coding agents to review and assess implementations across cloud platforms, Kubernetes, CI/CD pipelines, and observability tools.

Key responsibilities

• Use AI coding agents to complete and evaluate complex infrastructure engineering tasks.
• Review model‑generated implementations involving AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, and observability tooling.
• Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
• Compare outputs from multiple frontier models to assess strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure scenarios.

Required profile

• 2+ years of professional experience as a DevOps, SRE, or Cloud Engineer.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model‑generated infrastructure and reliability solutions.
• Experience supporting production‑scale systems is a plus.

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 paying $85 per hour.
• Remote work arrangement.
• Opportunity to work with cutting‑edge AI coding agents on real infrastructure challenges.