Salesforce Data Cloud & Agentforce QA
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Job Summary
- 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.
- 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.
- 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.
- 58 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.
Required Skills:
Position: Salesforce Data Cloud & Agentforce 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 Agentforce 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 handoff 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: 58 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.
Required Education:
Any Degree
