Automated Quality Assurance Expert

2 days ago

Bareilly, Uttar Pradesh, India beBeeAutomation Full time ₹ 18,00,000 - ₹ 24,00,000

We are seeking a Quality Assurance Automation Professional to join our quality engineering team. The ideal candidate will bring hands-on automation experience, deep knowledge of Salesforce and nCino, and expertise in designing, implementing, and executing automated test strategies.

Key Responsibilities
  • Develop test automation frameworks for Salesforce and nCino applications.
  • Create and execute automation test scripts for functional, regression, and integration testing.
  • Collaborate with stakeholders to review requirements, user stories, and acceptance criteria.
  • Perform end-to-end testing of nCino modules including Loan Origination System (LOS), Credit Memo, Collateral, Covenant Tracking, Deposit Account Opening, and Workflow Automation.
  • Validate Salesforce Lightning, APIs, and integrations with external systems.
  • Evaluate test coverage across UI, API, data, and performance testing.
  • Define and track quality metrics, identifying defects and driving resolution.
  • Mentor junior QA team members and contribute to best practices in automation.
Required Skills & Qualifications
  • 9+ years of QA experience, with at least 4+ years in Salesforce QA and nCino projects.
  • Strong knowledge of nCino modules and banking workflows (Commercial Lending, Treasury, Retail Banking).
  • Hands-on experience with Salesforce testing frameworks (Selenium WebDriver, Provar, TestNG, JUnit, Apex testing, etc.).
  • Experience in API testing (Postman, REST Assured, SOAP UI).
  • Expertise in CI/CD tools (Jenkins, Git, Bitbucket, Azure DevOps, or similar).
  • Familiarity with data validation and ETL testing for Salesforce integrations.
  • Proficiency in Agile/Scrum methodology.
  • Strong problem-solving skills and attention to detail.
Preferred/Good-to-Have
  • Salesforce certifications (Administrator, Platform App Builder, QA Automation-focused).
  • nCino 201/301 certification.
  • Experience with cloud platforms (AWS, Azure, GCP).
Education
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Master's degree preferred but not required.

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