Summary
Develop real-time customer-service solutions using event-driven architecture and enterprise CRM technologies. Design streaming integrations, build custom backend logic and user interfaces, automate service workflows, and connect external systems through secure APIs and middleware.
Highlights
Opportunity to build real-time, event-driven customer-service workflows and integrate enterprise CRM systems with modern streaming platforms.
Description
A Salesforce Service Cloud Developer with Kafka integration experience builds real-time, event-driven customer service workflows using tools like Salesforce Platform Events, the Pub/Sub API, and external Kafka clusters
Key Technical Skills
Salesforce: Service Cloud configuration, Apex, Flows, Platform Events, Change Data Capture (CDC), REST/Streaming APIs.Integration: Apache Kafka (Producers, Consumers, Topics, Kafka Connect), gRPC, event streaming patterns.Certifications: Salesforce Platform Developer I / II, Service Cloud ConsultaCore Responsibilities
Event-Driven Architecture: Design real-time data streaming between Service Cloud (Cases, Contacts, Work Orders) and Kafka topics.API & Middleware Utilization: Implement Salesforce Pub/Sub API (gRPC-based) or middleware like MuleSoft to bridge Kafka brokers with Salesforce.Custom Apex & Lightning Development: Write Apex triggers, LWC (Lightning Web Components), and Flows to publish or consume event messages inside Service Cloud.Service Cloud Core Skills
Case Management: Customizing cases, entitlements, SLAs, and knowledge bases.Routing & Console: Configuring Omni-Channel, skill-based routing, and the Service Console workspace.Automation: Building complex Salesforce Flows, Apex triggers, and custom LWC (Lightning Web Components).AI Tools: Integrating modern features like Einstein Bots or Agentforce conversational toolsIntegration Experience
API Development: Connecting external systems using REST and SOAP APIs.Telephony & Chat: Implementing CTI (Computer Telephony Integration) and third-party chat tools like AWS.Real-Time Data: Using Platform Events and middleware to exchange live data securely.
