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 robust 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 Dev Ops, or similar defect management tools.

📌 Salesforce Data Cloud & Agentforce QA (India)
🏢 dotSolved System
📍 India