AWS Developer
Core
Build and maintain a serverless integration layer connecting Amazon Connect, AWS Bedrock, Amazon Kinesis, and Salesforce within a FedRAMP High AWS GovCloud environment to enable AI-driven contact center capabilities.
Role type
Senior IC AWS Developer (Serverless & AI Integration)
Builds
Serverless Lambda functions, real-time data pipelines, Salesforce integrations (LWC, Platform Events), and AI inference workflows for contact center automation.
Domain
Healthcare/Life Sciences & Government (FedRAMP High/IL4)
Deliverable
production ML models | product features | infrastructure
Required skills
AWS Lambda, Amazon Connect, Amazon Lex, Amazon Bedrock, Amazon Kinesis, Salesforce APIs (REST/SOAP/Streaming), Lightning Web Components (LWC), Python, Node.js, Infrastructure as Code (CloudFormation/CDK), DevSecOps, IAM, VPC networking
Preferred skills
AWS Solutions Architect/Developer/DevOps certifications, Amazon QuickSight, Verint integrations, HIPAA/PHI handling, ServiceNow change management
Technologies
AWS GovCloud, Amazon Connect, Amazon Bedrock, Amazon Kinesis, Amazon Lex, Salesforce, Lightning Web Components, Python, Node.js, CloudFormation, CDK, CodeCommit, CodePipeline, CodeBuild, Verint, QuickSight, ServiceNow
Responsibilities
Develop and maintain AWS Lambda functions orchestrating AI inference and data processing; Build and optimize real-time data pipelines from Connect through Kinesis to Bedrock and Salesforce; Implement Salesforce integrations for near-real-time AI coaching prompts; Configure Amazon Lex bots and Bedrock Agents for IVR fulfillment; Build post-call summarization pipelines integrating Contact Lens, Bedrock, and Salesforce; Develop Lightning Web Components for AI coaching UI; Configure CloudWatch alarms and operational monitoring dashboards; Implement infrastructure-as-code for reproducible deployments; Enforce DevSecOps practices including security reviews and automated testing.
Seniority
Senior, hands-on IC
