Role Summary: Design and implement scalable automation frameworks or leverage AI tools/frameworks to enable continuous testing across banking applications.
Key Responsibilities:
Use AI-driven tools (e.g., Lifter) to auto-generate, optimize, and maintain test cases and automation scripts
Shift 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 layers
Collaborate with QE Leads/Architects to align automation with risk-based testing strategy
Integrate AI-generated tests into CI/CD pipelines for continuous testing
Continuously refine test assets using production insights, defect patterns, and usage analytics
Ensure minimal manual intervention through intelligent maintenance and auto-correction capabilities Required Skills:
Required Skills:
Experience with AI-powered testing tools
Familiarity with SaaS products especially Workday products
Knowledge of US banking systems and workflows
Strong understanding of test automation fundamentals (UI/API/Data)
Familiarity with automation ecosystems (Selenium, Playwright, Cypress, API tools)