AWS Developer

Role Overview

• Develop and maintain AWS Lambda functions that orchestrate AI inference calls to Bedrock Agents, process Contact Lens transcript streams, and write structured data to Salesforce
• Build and optimize the real-time data pipeline from Amazon Connect through Kinesis to downstream consumers (Bedrock, Salesforce, Verint, QuickSight)
• Extend the existing Lambda-to-Salesforce integration from post-call writes to near-real-time delivery during live calls for the AI Coaching capability
• Implement Salesforce Platform Events or Streaming API integrations to push coaching prompts to agents in real time
• Develop the Lightning Web Component (LWC) that renders AI coaching prompts within the agent’s Salesforce workspace, displaying contextual cards for compliance alerts, recommended actions, and knowledge suggestions
• Configure Amazon Lex bot intents, slot types, and fulfillment logic for the IVR Call Taking virtual agent, connecting Lex to Bedrock Agents for complex fulfillment
• Build the post-call summarization pipeline: Contact Lens transcript → Bedrock inference → Guardrails validation → Salesforce case record write
• Integrate AI-generated summaries, call metadata, and quality scores with Verint for quality management alignment
• Configure CloudWatch alarms, anomaly detection for call reason spike detection, and operational monitoring dashboards
• Implement infrastructure-as-code using CloudFormation or CDK for all new AWS resources, ensuring reproducible deployments across Dev, Test, UAT, and Production environments
• Follow DevSecOps practices: code version control in CodeCommit, automated unit testing, security-focused code reviews, and CAB-approved deployment processes via ServiceNow
• Collaborate with the Security Engineer to ensure all integrations enforce TLS 1.2/1.3 encryption, IAM least-privilege access, and SIEM-compatible logging

Requirements

• 4+ years of experience developing serverless applications on AWS (Lambda, API Gateway, Kinesis, S3, DynamoDB, CloudWatch)
• Strong proficiency in Python and/or Node.js for Lambda function development
• Hands-on experience with Amazon Connect contact flows, Amazon Lex bot configuration, and Contact Lens integration
• Experience building integrations with Salesforce (REST/SOAP APIs, Platform Events, Streaming API, or Salesforce Connect)
• Familiarity with Salesforce Lightning Web Component (LWC) development or willingness to ramp quickly
• Experience with real-time streaming architectures using Amazon Kinesis (Data Streams and/or Firehose)
• Proficiency with infrastructure-as-code (CloudFormation, CDK, or Terraform) for AWS resource provisioning
• Understanding of CI/CD pipelines and DevSecOps practices (CodeCommit, CodePipeline, CodeBuild, or equivalent)
• Knowledge of IAM policy design, VPC networking, and security best practices in AWS GovCloud
• Experience with FedRAMP, NIST 800-53, or equivalent federal compliance frameworks
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)

Tech Stack

• AWS
• DynamoDB
• JavaScript
• Node.js
• Python
• ServiceNow
• SOAP
• Terraform

Benefits

• Health insurance
• Paid time off
• Flexible work arrangements