Role SummaryDesign and implement scalable automation frameworks or leverage AI tools/frameworks to enable continuous testing across banking applications.Key ResponsibilitiesUse AI-driven tools (e.g., Lifter) to auto-generate, optimize, and maintain test cases and automation scriptsShift from script-heavy automation to outcome-driven validation (business flows, risk coverage, defect prevention)Build and maintain self-healing and adaptive automation suites across UI, API, and data layersCollaborate with QE Leads/Architects to align automation with risk-based testing strategyIntegrate AI-generated tests into CI/CD pipelines for continuous testingContinuously refine test assets using production insights, defect patterns, and usage analyticsEnsure minimal manual intervention through intelligent maintenance and auto-correction capabilitiesRequired SkillsExperience with AI-powered testing toolsFamiliarity with SaaS products especially Workday productsKnowledge of US banking systems and workflowsStrong understanding of test automation fundamentals (UI/API/Data)Familiarity with automation ecosystems (Selenium, Playwright, Cypress, API tools)CI/CD integration knowledge (Jenkins, Azure DevOps, GitHub Actions)Programming knowledge (Java / Python / JavaScript – working level)Understanding of risk-based testing and intelligent test design#J-18808-Ljbffr
