AWS Cloud Engineer
Job Description
About this role
AWS has hundreds of services with overlapping use cases, and AI assistants frequently recommend the wrong one or get the IAM scoping subtly wrong. As an AWS Cloud Engineer for AI training, you will help AI generate AWS code and architectures that are not just functional but appropriate for the actual workload, cost profile, and security posture.
Key Responsibilities
• Generate and evaluate instruction-response pairs covering AWS compute, storage, networking, and serverless.
• Review AI-generated code in CDK, CloudFormation, Terraform, and Pulumi for AWS.
• Provide feedback on IAM design, least-privilege policies, and account architecture.
• Validate AI handling of VPC design, Transit Gateway, and PrivateLink.
• Evaluate cost-optimization recommendations (Compute Savings Plans, S3 lifecycle, RDS sizing).
• Identify subtle issues in IAM trust policies, KMS key access, and cross-account roles.
Ideal Qualifications
• 5• years building production systems on AWS.
• Deep familiarity with at least three AWS service families (compute, storage, data, AI/ML, networking).
• Strong grasp of IAM, KMS, and AWS security best practices.
• Experience with CDK or Terraform for AWS infrastructure-as-code.
• Comfort with at least one AWS Professional certification or equivalent experience.
• Familiarity with multi-account, Control Tower, or Landing Zone architectures is a plus.
Project Timeline
• Start Date: Immediate
• Duration: Ongoing
• Commitment: Flexible, 10-25 hours/week
Contract & Payment Terms
• Independent contractor agreement
• Remote work — anywhere in eligible locations
• Weekly payment via Stripe or bank transfer
• Flexible hours
Help AI make the right AWS choices, not just any AWS choices — apply now!