The role involves leveraging AI and machine learning models to optimize test case generation, execution, and defect prediction for banking applications
Job Summary
The role involves leveraging AI and machine learning models to optimize test case generation, execution, and defect prediction for banking applications.
The candidate will collaborate closely with development teams to integrate automated testing into CI/CD pipelines and work with cross-functional teams to resolve issues early in the development lifecycle.
Continuous innovation and staying updated with emerging AI technologies and testing tools are essential to enhance testing processes and reduce manual effort.
Matching Summary
The role involves leveraging AI and machine learning models to optimize test case generation, execution, and defect prediction for banking applications.
Skills & Requirements
Must-have
AI-driven test automation frameworks
Banking domain expertise
Test automation tools like Selenium
Programming in Java or Python
CI/CD pipeline integration
API testing with Postman or SOAPUI
Nice-to-have
Strong communication and collaboration skills
Experience with Pega
Knowledge of deep learning and LLMs
Problem-solving and analytical skills
Continuous improvement mindset
Key Requirements
4+ years experience as SDET or QA Automation Engineer
Bachelor’s degree in Computer Science or related field
Experience with banking workflows and regulatory requirements
Proficiency in Oracle and SQL for test data mining
Experience with BDD/TDD and Cucumber framework
Hands-on API development and integration experience