AWS Backend/Salesforce Integration Rules Engine Developer

About the role

As an AWS Backend/Salesforce Integration Rules Engine Developer, you will play a crucial role in ensuring that our operations are both secure and efficient. Your responsibilities will involve developing a flexible business rules engine, extracting data from Salesforce cases, performing data validation, executing business rules, and integrating these outcomes back into Salesforce.

Responsibilities

• Develop framework for a flexible business rules engine.
• Extract data from Salesforce cases for processing.
• Perform data validation and execute business rules against structured Salesforce data and results of an unstructured AI data processing pipeline.
• Perform detailed logging for auditability and traceability of rules outcomes.
• Return business decisions and validation outcomes to Salesforce.

Requirements

• 5+ years of experience developing RESTful services and event-driven backends in AWS.
• Expert-level experience in Python programming, including the implementation of concurrent processing techniques for high-throughput batch workloads; all solutions must ensure processing results are fully auditable and traceable.
• Hands-on expert-level experience implementing business rules and/or decision logic that translates business requirements into deterministic processing.
• Production experience with AWS, including: S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, and CloudWatch.
• Expert-level hands-on experience with Relational and NoSQL databases, such as Postgres and/or DynamoDB, and database caching APIs using Redis.
• Experience integrating AWS with Salesforce.
• Experience with Docker image builds and deployment through CI/CD using Git, Jenkins and/or GitHub Actions.
• Experience creating and performing Unit Testing and code coverage using pytest and/or equivalent.

Preferred

• Hands-on experience with agile development and tools, including JIRA.
• Healthcare Service Industry or Center for Medicare and Medicaid Services (CMS) experience.
• Experience consuming outputs from ML/AI systems (predictions, classifications, extracted data) and integrating them into downstream applications.
• Experience with hybrid architectures combining deterministic rules with LLM inference.
• Experience handling PII/PHI under HIPAA or similar (VPC isolation, encryption, least-privilege IAM, audit logging).
• Experience with Healthcare claims, insurance, or other regulated document workflows.
• SQL analytics environments (Snowflake, Redshift) for pipeline reporting and validation.
• Experience with Infrastructure as code (Terraform, CDK, CloudFormation).

Education

AAT is an Equal Opportunity Employer (EOE) who will provide equal employment opportunity to employees and applicants for employment without regard to race, ethnicity, religion, color, sex, pregnancy, national origin, age, veteran status, ancestry, sexual orientation, gender identity or expression, marital status, family structure, genetic information, or mental or physical disability.