Ring Cs - Salesforce Developer, Ring/blink Cs Technology Enablement

Amazon Amazon · Big Tech · Hawthorne, CA · Systems, Quality, & Security Engineering

This role focuses on designing and implementing Salesforce solutions within AI initiatives, integrating with AWS AI services to improve customer service efficiency through AI-powered automation. The primary focus is on Salesforce development and integration, not direct AI model building.

What you'd actually do

  1. Own the technical design and implementation of complex Salesforce features within AI initiatives
  2. Architect and build scalable Salesforce solutions integrating with AWS services and AI technologies
  3. Lead Salesforce platform optimization for performance, scalability, and maintainability
  4. Drive improvements in Salesforce development processes, deployment pipelines, and governance
  5. Design and implement robust APIs and integrations between Salesforce and external systems

Skills

Required

  • Salesforce development
  • Apex
  • SOQL/SOSL
  • Lightning Web Components
  • Aura Components
  • Salesforce Service Cloud
  • Salesforce Voice technologies
  • telephony integrations
  • Data Cloud architecture
  • data modeling
  • customer data platform concepts
  • Salesforce APIs (REST, SOAP, Bulk, Streaming)
  • large-scale Salesforce solutions design and implementation
  • Salesforce integrations
  • middleware platforms
  • Salesforce security model
  • sharing rules
  • data governance
  • Salesforce DevOps tools
  • Salesforce CLI
  • VS Code
  • Git-based deployments
  • Python
  • Ruby
  • Golang
  • Java
  • C++
  • C#
  • Rust
  • Linux/Unix
  • CI/CD pipelines

Nice to have

  • distributed systems at scale
  • Salesforce Platform Developer II certification
  • Agentforce
  • conversational AI implementations
  • Advanced Data Cloud experience
  • Service Cloud expertise
  • Omni-Channel
  • Case Management
  • Knowledge Management
  • CTI
  • SIP
  • Service cloud voice
  • Einstein AI features
  • Flow
  • Process Builder
  • AWS services (Lambda, API Gateway, S3)
  • Generative AI technologies
  • customer service workflows
  • support automation
  • Salesforce Communities
  • Experience Cloud
  • Lightning Platform
  • Salesforce metadata management
  • release management
  • Salesforce performance optimization
  • large data volumes
  • real-time data processing
  • streaming architectures

What the JD emphasized

  • Salesforce development experience
  • Apex, SOQL/SOSL, Lightning Web Components, and Aura Components
  • Salesforce Service Cloud configuration, customization, and optimization
  • Salesforce Voice technologies and telephony integrations
  • Data Cloud architecture, data modeling, and customer data platform concepts
  • Salesforce APIs (REST, SOAP, Bulk, Streaming)
  • designing and implementing large-scale Salesforce solutions
  • Salesforce integrations and middleware platforms
  • Salesforce security model, sharing rules, and data governance
  • Salesforce DevOps tools (Salesforce CLI, VS Code, Git-based deployments)