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
About the role
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.
Basic Qualifications
• 3+ years hands-on experience building multi-service AWS serverless applications (Lambda, API Gateway, DynamoDB/Streams, S3, EventBridge, SNS/SQS, Step Functions)
• Strong experience with infrastructure-as-code (AWS CDK, CloudFormation, or SAM)
• Demonstrated ability to assess event-driven architecture correctness, IAM/permission boundaries, and failure/retry semantics
• Familiarity with local emulation/testing fidelity (e.g., LocalStack) versus real AWS behavior
Preferred Qualifications
• AWS certifications (Solutions Architect / Developer)
• Experience with observability and cost-optimization for serverless workloads
• Prior code-review or task-grading experience
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