Test Salesforce Data Cloud implementations, Agentforce AI agents, CRM integrations, data pipelines, APIs, security controls, and automated business processes. Develop test strategies, plans, scenarios, and cases; execute functional, regression, integration, system, and UAT testing; validate data quality, agent responses, guardrails, and escalation flows; manage defects and QA documentation; and support release and production validation.
Position: Salesforce Data Cloud & Agent-force QA
Location: Chennai - Onsite/Hybrid/Remote
Shift Timing: 3.00AM - 12.00PM PST (US Pacific Time)
About the role: We are looking for an experienced Salesforce QA Engineer specializing in Salesforce Data Cloud and Agent-force to validate enterprise Salesforce solutions, AI-powered agents, customer data integrations, and automated business processes.
The ideal candidate should have strong experience in Salesforce testing, Data Cloud validation, Agentforce testing, data integration, and end-to-end quality assurance. The candidate will work closely with Salesforce developers, architects, business analysts, and product owners to ensure the accuracy, reliability, performance, and quality of Salesforce implementations.
Key Responsibilities:
Salesforce Data Cloud Testing
- Perform functional and end-to-end testing of Salesforce Data Cloud implementations.
- Validate data ingestion from multiple sources, data mapping, transformation, and data harmonization.
- Test Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and calculated insights.
- Validate identity resolution, reconciliation rules, and unified customer profiles.
- Test segmentation, audience creation, and activation processes.
- Verify data quality, accuracy, completeness, and consistency across integrated systems.
- Validate integrations between Data Cloud and Salesforce CRM and external applications.
Salesforce Agentforce Testing
- Perform functional and end-to-end testing of Agentforce AI agents.
- Validate agent topics, actions, instructions, and reasoning capabilities.
- Test Agentforce interactions, prompt templates, and response accuracy.
- Validate AI-generated responses against expected business outcomes.
- Test agent interactions with Salesforce records, Flows, Apex actions, and external systems.
- Validate agent escalation, hand-off, and fallback scenarios.
- Test guardrails, security permissions, data access controls, and responsible AI behavior.
- Identify hallucinations, incorrect responses, and inconsistent agent behavior.
- Validate conversational experiences across different user scenarios.
General Salesforce QA Responsibilities
- Prepare test strategies, test plans, test scenarios, and detailed test cases.
- Execute functional, regression, integration, system, and UAT testing.
- Perform API testing for Salesforce integrations.
- Identify, document, track, and manage defects through resolution.
- Collaborate with developers, architects, and business stakeholders to resolve quality issues.
- Maintain test execution reports, defect metrics, and QA documentation.
- Support release validation and production deployment testing.
Required Technical Skills:
- 5–8 years of experience in Salesforce QA / Software Testing.
- Strong understanding of Salesforce CRM architecture and platform capabilities.
- Hands-on experience testing Salesforce Data Cloud.
- Knowledge of Data Streams, DLOs, DMOs, identity resolution, calculated insights, and segmentation.
- Hands-on experience or strong project exposure to Salesforce Agentforce.
- Understanding of Agentforce topics, actions, prompt templates, and agent configurations.
- Experience testing Salesforce Flows, Apex integrations, and CRM functionalities.
- Strong knowledge of REST APIs and integration testing.
- Experience with Postman or similar API testing tools.
- Knowledge of Salesforce security, profiles, permission sets, and sharing rules.
- Experience with Jira, Azure DevOps, or similar defect management tools.
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