ob Overview:
We are seeking a skilled AWS Developer to design and implement a robust, secure, and scalable API Gateway on AWS. This gateway will act as an integration bridge between a Salesforce Force.com application and an LLM (Large Language Model) AI endpoint service. The ideal candidate has hands-on experience in building serverless architectures, securing APIs, and integrating cloud-native services with third-party applications and AI/ML platforms.
Key Responsibilities:
- Design and develop a secure API Gateway on AWS to facilitate bidirectional communication between Salesforce and an AI endpoint.
- Implement Lambda functions, IAM roles, and authentication mechanisms (e.g., OAuth, API Keys, Cognito).
- Ensure secure, low-latency, and scalable message flow between the Force.com backend and external LLM APIs.
- Integrate with Salesforce via REST APIs, handle authentication tokens, and manage session logic.
- Optimize API performance and handle error retries, logging, and monitoring via CloudWatch.
- Ensure high availability and fault-tolerant architecture using API Gateway, Lambda, S3, DynamoDB or other relevant services.
- Work with AI teams to consume LLM endpoints (OpenAI, Anthropic, custom-hosted models).
- Follow best practices in DevOps, IaC (Infrastructure as Code) using CloudFormation or Terraform.
Job Description:
Experience Level: 3+ years in AWS development/integration roles
Job Overview:
We are seeking a skilled AWS Developer to design and implement a robust, secure, and scalable API Gateway on AWS. This gateway will act as an integration bridge between a Salesforce Force.com application and an LLM (Large Language Model) AI endpoint service. The ideal candidate has hands-on experience in building serverless architectures, securing APIs, and integrating cloud-native services with third-party applications and AI/ML platforms.
Key Responsibilities:
- Design and develop a secure API Gateway on AWS to facilitate bidirectional communication between Salesforce and an AI endpoint.
- Implement Lambda functions, IAM roles, and authentication mechanisms (e.g., OAuth, API Keys, Cognito).
- Ensure secure, low-latency, and scalable message flow between the Force.com backend and external LLM APIs.
- Integrate with Salesforce via REST APIs, handle authentication tokens, and manage session logic.
- Optimize API performance and handle error retries, logging, and monitoring via CloudWatch.
- Ensure high availability and fault-tolerant architecture using API Gateway, Lambda, S3, DynamoDB or other relevant services.
- Work with AI teams to consume LLM endpoints (OpenAI, Anthropic, custom-hosted models).
- Follow best practices in DevOps, IaC (Infrastructure as Code) using CloudFormation or Terraform.
Required Skills & Experience:
- Strong hands-on experience with AWS API Gateway, AWS Lambda, and IAM.
- Proficiency in Python or Node.js for Lambda development.
- Experience integrating with Salesforce REST APIs and authentication workflows.
- Understanding of LLM APIs and AI service integration (OpenAI, Hugging Face, etc.).
- Knowledge of secure API development including rate limiting, token validation, and logging.
- Familiarity with event-driven architectures and serverless frameworks.
- Experience with CI/CD pipelines, CloudFormation, or Terraform.
- Strong troubleshooting and debugging skills across cloud environments.
Preferred Qualifications:
- AWS Certified Developer – Associate or equivalent certification.
- Prior experience integrating Salesforce with external cloud services.
- Understanding of AI/ML pipelines and REST-based AI model interactions.
- Familiarity with API monitoring and analytics tools.
ob Overview:
We are seeking a skilled AWS Developer to design and implement a robust, secure, and scalable API Gateway on AWS. This gateway will act as an integration bridge between a Salesforce Force.com application and an LLM (Large Language Model) AI endpoint service. The ideal candidate has hands-on experience in building serverless architectures, securing APIs, and integrating cloud-native services with third-party applications and AI/ML platforms.
Key Responsibilities:
- Design and develop a secure API Gateway on AWS to facilitate bidirectional communication between Salesforce and an AI endpoint.
- Implement Lambda functions, IAM roles, and authentication mechanisms (e.g., OAuth, API Keys, Cognito).
- Ensure secure, low-latency, and scalable message flow between the Force.com backend and external LLM APIs.
- Integrate with Salesforce via REST APIs, handle authentication tokens, and manage session logic.
- Optimize API performance and handle error retries, logging, and monitoring via CloudWatch.
- Ensure high availability and fault-tolerant architecture using API Gateway, Lambda, S3, DynamoDB or other relevant services.
- Work with AI teams to consume LLM endpoints (OpenAI, Anthropic, custom-hosted models).
- Follow best practices in DevOps, IaC (Infrastructure as Code) using CloudFormation or Terraform.
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