Software QA Engineer ( Salesforce Sales Cloud)
NetApp · Bengaluru, Karnataka, India
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NetApp · Bengaluru, Karnataka, India
Job Summary QA Engineer with 6+ years of experience in Salesforce testing (manual + automation), responsible for ensuring high-quality releases through robust test design, execution, and automation. The role combines strong functional expertise in Salesforce Sales Cloud with modern automation practices and AI-assisted testing to improve speed, coverage, and defect detection. Works closely with Product, Engineering, and stakeholders in an Agile environment. Job Requirements • 6+ years of QA experience with strong focus on Salesforce testing (Sales Cloud) • Hands-on experience in manual + automation testing • Strong understanding of SDLC/STLC and QA best practices • Experience in automation tools: Selenium / Playwright / Opkey • Programming knowledge in Java / Python / JavaScript / TypeScript • Experience with test frameworks: TestNG, JUnit, PyTest, Mocha/Jest • Good knowledge of SQL and data validation • Experience with CI/CD pipelines and Git • Exposure to IICS, API testing, and system integrations (SFDC, CPQ, ERP) • Familiarity with AI tools (ChatGPT/Copilot) for testing optimization • Experience working in Agile/Scrum teams • Bachelor’s degree in Computer Science / IT or equivalent Job Responsibilities • Design and execute test plans, test cases, and test scenarios for Salesforce applications • Perform end-to-end manual testing: functional, regression, UI, exploratory, and cross-browser • Validate Salesforce configurations, workflows, SPIFF logic, and integrations • Build and maintain automation frameworks and test scripts (UI + API) • Integrate automation into CI/CD pipelines and improve coverage & reliability • Use AI tools to generate test cases, optimize scripts, and accelerate defect analysis • Perform data validation and integration testing across systems (SFDC, CPQ, ERP) • Log, track, and manage defects using Jira/Azure DevOps • Collaborate in Agile ceremonies and provide release sign-off with QA metrics & risks