AWS Developer/Integration Engineer
About The Position
Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer. The AWS Developer / Integration Engineer is responsible for building and maintaining the serverless integration layer that connects Amazon Connect, AWS Bedrock, Amazon Kinesis, and Salesforce within a FedRAMP High (IL4) AWS GovCloud environment. This role develops Lambda functions, configures real-time data pipelines, builds Salesforce integrations (including Platform Events and Lightning Web Components for AI Coaching), and ensures seamless data flow across all four AI capabilities. The engineer also integrates AI outputs with Verint for quality management and configures Kinesis data feeds for the Post Call Analysis dashboards.
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)
Nice To Haves
- AWS certifications: Solutions Architect – Associate/Professional, Developer – Associate, or DevOps Engineer
- Experience with Amazon Bedrock API integration and AI/ML inference pipelines
- Prior work in FedRAMP High or IL4/IL5 AWS GovCloud environments
- Familiarity with Amazon QuickSight for dashboard development
- Experience with Verint workforce management or quality management integrations
- Healthcare domain experience (HIPAA compliance, PHI handling, TRICARE)
- Experience with change management processes (ServiceNow, CAB approvals)
- #LIREMOTE
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
