QE Automation Engineer

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