AWS Serverless & Infrastructure-as-Code Task Auditor

Mercor, Inc.

San Francisco, CA, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$145,600.0 - $187,200.0

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Cloud Computing Cloud Engineering Amazon DynamoDB Identity and Access Management Machine Learning AWS Cdk AWS Lambda Cloudformation Event Driven Architecture

+4 more

Functional Programming Api Gateway Amazon Simple Queue Service (SQS) Serverless Computing

Job description

Evaluate the quality and correctness of AWS serverless and infrastructure-as-code tasks.
Assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness.
Provide clear, rubric-based written feedback to improve AI model training.
Review event-driven architecture for correctness, including IAM/permission boundaries and failure/retry semantics.
Collaborate asynchronously to enhance cloud-architecture soundness.

Requirements

Must-Have

3+ years hands-on experience with 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).
Ability to assess event-driven architecture correctness.
Familiarity with local emulation/testing fidelity (e.g., LocalStack).

Preferred

AWS certifications (Solutions Architect / Developer).
Experience with observability and cost-optimization for serverless workloads.
Prior code-review or task-grading experience., AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Auditing, Benchmarking, Cloud Architecture, Cloud Computing, Cost Control, Research Laboratory, Simple Queue Service (SQS)

About the company

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.