Sr. Software Engineer - Java+AWS Job

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.