Senior Quality Engineer / QE Lead ��� AI-Led Quality Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and execute comprehensive test strategies covering functional, integration, API, end-to-end, regression, and data validation for legacy and modernized applications.
Lead quality engineering efforts including database migration and ETL testing, ensuring data accuracy and system integration across multiple platforms, including AWS services.
Drive AI-led quality engineering initiatives using GenAI and AI-enabled tools to optimize requirement analysis, test creation, automation, and regression, integrating automated tests into CI/CD pipelines.
Minimum Requirements
Minimum 7+ years of experience in Software Testing / Quality Engineering.
Strong experience with functional, integration, regression, end-to-end testing of Angular and .NET applications.
Proficient with API testing tools (Postman, REST Assured, Karate, Playwright) and SQL for database validation; hands-on experience with SQL Server and PostgreSQL database migration and ETL testing.
Experience with test automation frameworks (Playwright, Selenium, Cypress, Karate, Rest Assured) and CI/CD pipeline integration; Agile delivery experience.
Ideal Candidate Profile
Experienced in legacy application modernization projects with ability to validate application and data parity during platform migration.
Skilled in AI-powered quality engineering tools and techniques, including GenAI-based test scenario generation and automation.
Capable of understanding complex architectures and business processes to design risk-based, intelligent test coverage and take end-to-end quality ownership.