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Dorado seeks a qualified reviewer to evaluate AWS serverless architectures and IaC implementations for frontier AI model training tasks. You will scrutinize multi-service serverless designs, IAM boundaries, and cross-service integrations, delivering precise rubric-based feedback to improve reliability and cost-efficiency.
The role expects deep hands-on AWS serverless and IaC expertise, experience with local emulation tools, and the ability to communicate actionable findings to engineering teams.
Evaluate the quality, correctness, and cloud-architecture soundness of AWS serverless and infrastructure-as-code tasks used to train and evaluate a frontier AI lab's models. You'll assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness — and provide clear, rubric-based written feedback.