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)
- 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