Salesforce Data Cloud & Agentforce QA
QA engineer focused on Salesforce Data Cloud and Agentforce: validating data ingestion, identity resolution, segmentation, and AI agent behavior (topics, prompts, guardrails) end to end. Day to day: test planning, functional/regression/API testing, and defect management on US Pacific-time hours from Chennai.
- Compensation
- Not disclosed
- Location
- Chennai
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 7+ years
- Category
- Qa
- Posted
Skills
Must have
- 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
Full description
Job Summary
Position: Salesforce Data Cloud & Agent-force QA
Location: Chennai - Onsite/Hybrid/Remote
Shift Timing: 3.00AM - 12.00PM PST (US Pacific Time)
Job Type: Full 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.