AWS Developer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and maintain AWS Lambda functions that coordinate AI inference calls to Bedrock Agents, process transcript streams from Contact Lens, and input structured data into Salesforce.

• Construct and enhance the real-time data pipeline from Amazon Connect via Kinesis to downstream users (Bedrock, Salesforce, Verint, QuickSight).

• Expand the current Lambda-to-Salesforce integration to facilitate near-real-time data delivery during live calls for the AI Coaching feature.

• Execute Salesforce Platform Events or Streaming API integrations to transmit coaching prompts to agents instantly.

• Create the Lightning Web Component (LWC) that displays AI coaching prompts within the agent's Salesforce interface, showcasing contextual cards for compliance alerts, suggested actions, and knowledge tips.

• Set up Amazon Lex bot intents, slot types, and fulfillment logic for the IVR Call Taking virtual agent, linking Lex to Bedrock Agents for complex fulfillment tasks.

• Develop the post-call summarization pipeline: Contact Lens transcript → Bedrock inference → Guardrails validation → Salesforce case record creation.

• Incorporate AI-generated summaries, call metadata, and quality scores with Verint for alignment with quality management.

• Configure CloudWatch alarms, anomaly detection for call reason spike identification, and operational monitoring dashboards.

• Implement infrastructure-as-code utilizing CloudFormation or CDK for all new AWS resources, guaranteeing reproducible deployments across Development, Test, UAT, and Production environments.

• Adhere to DevSecOps practices: code version control in CodeCommit, automated unit testing, security-focused code evaluations, and CAB-approved deployment processes via ServiceNow.

• Collaborate with the Security Engineer to ensure all integrations enforce TLS 1.2/1.3 encryption, implement IAM least-privilege access, and maintain SIEM-compatible logging.

⛳️ Requirements

• Minimum of 4 years of experience in developing serverless applications on AWS (Lambda, API Gateway, Kinesis, S3, DynamoDB, CloudWatch).

• Strong expertise in Python and/or Node.js for developing Lambda functions.

• Practical experience with Amazon Connect contact flows, Amazon Lex bot setup, and Contact Lens integration.

• Experience in building integrations with Salesforce (REST/SOAP APIs, Platform Events, Streaming API, or Salesforce Connect).

• Familiarity with Salesforce Lightning Web Component (LWC) development or a readiness to learn quickly.

• Experience with real-time streaming architectures utilizing Amazon Kinesis (Data Streams and/or Firehose).

• Proficient in infrastructure-as-code (CloudFormation, CDK, or Terraform) for provisioning AWS resources.

• Understanding of CI/CD pipelines and DevSecOps principles (CodeCommit, CodePipeline, CodeBuild, or similar).

• Knowledge of IAM policy design, VPC networking, and security best practices within AWS GovCloud.

• Experience with FedRAMP, NIST 800-53, or similar federal compliance standards.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

🏝️ Benefits

• Health insurance

• Paid time off

• Flexible work arrangements