AWS Deployment for AI Recruiting Tool

I'm developing an AI-driven recruiting SaaS that processes resumes in various formats and ranks candidates. The tool needs to be deployed on AWS, with a focus on adhering to SOC2 compliance standards, particularly data security. The app currently runs locally, and I need an experienced AWS DevOps Engineer to help deploy it to AWS while ensuring SOC2 compliance best practices.

Key Components for Deployment:
- Database
- Frontend application
- Resume Processing Pipeline
- Future AI Model Deployment Consideration

Current and Planned AWS Services:
- AWS Textract for data extraction
- AWS Comprehend for natural language processing
- Claude API for AI analysis
-Automate deployment with CI/CD (GitHub Actions, AWS CodePipeline, or similar)

Ideal Candidate:
An experienced AWS DevOps Engineer with a strong background in SOC2 compliance, particularly in data security. You should be proficient with deploying complex applications on AWS and be able to design an AI-ready architecture for future enhancements. Skills in securing data and ensuring compliance standards are met will be crucial for the success of this project.

Ideal Freelancer Should Have:
✔️ Proven experience deploying SaaS applications on AWS.
✔️ Strong AWS DevOps background (EC2, Fargate, Lambda, RDS/DynamoDB, IAM).
✔️ Experience with SOC2 compliance (IAM, encryption, monitoring, security best practices).
✔️ Familiarity with resume parsing tools (Textract, Comprehend) is a plus.
✔️ Strong communication skills to collaborate and document setup.

AWS Services Likely Needed:

Compute: AWS Fargate (ECS) or EC2
Storage: S3 (for resumes), RDS/DynamoDB (for structured data)
Security & Compliance: IAM, Macie, GuardDuty, CloudTrail, KMS (encryption), Audit Manager
Processing: AWS Lambda, Textract (PDF extraction), Comprehend (NLP), Step Functions (workflow automation)
CI/CD: AWS CodePipeline or GitHub Actions