Lead Architect - Testing + AI

Requirements:
10 to 14 years of software testing experience.
8+ years of experience working as a QA Engineer or in a similar capacity.
Must have experience in ETL testing and creating data pipelines.
Excellent experience in Python and SQL scripting.
Expert in automation testing, creating end-to-end use cases.
Knowledge of QA methodologies, tools, and techniques.
Knowledge of DevOps principles.
Experience working in an Agile environment.
Excellent communication skills and ability to work with different stakeholders to improve the company's procedures and to ensure the vision is communicated clearly.
Previous experience as a test automation engineer at various development stages and integrating with CI/CD pipelines (e. g., unit, integration, load tests)
Experience with testing PySpark code and API testing.
Experience with test automation frameworks (Python BDD).
Experience with Docker containers.
Experience in validating AI/ML models for accuracy, bias detection, and performance monitoring.
Knowledge of AI-driven test automation platforms and their integration with CI/CD pipelines.
Analytical thinking, problem-solving skills, and attention to detail; QA management experience.
Experience working with professional software engineering practices and best practices for the full software development life cycle.
Experience improving product test coverage and effectiveness.
Experience in Selenium Automation testing using Python and Pytest.

Experience
10-14 yrs