Sr. Software Engineer - Java+AWS Job

ob Overview:

• 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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Experience Level:

Job Overview:

• 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:

• 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.