AWS Developer

🕒 May 20

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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rockITdata

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Consulting • Technology

rockITdata is a consulting firm that specializes in providing strategic solutions and support in the areas of AI, Data & Analytics, IT Transformation, and Management Consulting. The company focuses on leveraging cloud-based and AI-driven technologies to transform customer experiences and streamline operations. Their expertise lies in serving both commercial and public sector industries, offering bespoke solutions that integrate dual-use technologies to drive business growth and enhance customer engagement. rockITdata is committed to delivering innovative solutions that empower teams and optimize customer relationships through advanced technology partnerships.

📋 Description

• 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)

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements

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