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Tier-1 brand and Bangalore metro raise candidate density despite niche Salesforce/Agentforce specialization.
High because deep Salesforce, Agentforce, CRM-integrations, and middleware expertise limit cross-industry transferability.
High because 10+ years and mandatory Salesforce/Agentforce plus specific middleware and integration tech stack are required.
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Lead design, development, and deployment of scalable, enterprise-grade Salesforce solutions integrating AI-driven Agentforce automation and Revenue Cloud systems.
Architect and maintain real-time, event-driven integrations between Salesforce, backend middleware (Java), and data platforms for reliable CRM data flow and agent automation.
Drive engineering excellence through DevOps practices, mentorship, and building fault-tolerant systems to support autonomous workflows and AI-enabled revenue operations.
10+ years in enterprise software development focused on scalable, fault-tolerant CRM-integrated architectures.
2–3 years hands-on experience with Salesforce Agentforce, Data Cloud, and cloud platforms (GCP or Azure).
Deep expertise in Salesforce architecture including Apex, Lightning Web Components, Shield, and advanced integrations (Platform Events, CDC, REST/SOAP APIs).
Proficiency in backend middleware development using Java or Python (Apache Camel, MuleSoft) and mastery of Salesforce DX and CI/CD pipelines (GitHub Actions or Copado).
Experienced technical leader skilled at bridging CRM infrastructure with AI-driven automation in enterprise-scale environments.
Strong background in distributed systems and real-time data synchronization leveraging tools like Kafka or Spark in conjunction with Salesforce.
Prior exposure to ad-tech or high-scale B2B SaaS companies and proven delivery of complex Agentic AI solutions embedded in Salesforce ecosystems.