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Senior, highly specialized QA-architect role in Bangalore with niche AI/ETL automation skills reduces applicant density.
Requires deep QA architecture, ETL/PySpark, AI/ML validation and automation experience, so industry-transferability is limited.
Explicit 14-19 years requirement plus many mandatory technical skills and leadership expectations indicate high strictness.
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Lead QA testing activities including designing and automating test cases, focusing on ETL, data pipelines, and AI/ML validation.
Own end-to-end QA automation and manual quality assurance including defining KPIs and integrating AI-driven testing tools in CI/CD pipelines.
Manage QA teams, coordinate releases, collaborate with stakeholders to improve quality standards and testing procedures.
14 to 19 years of software testing experience with 8+ years as QA Engineer or similar role.
Expertise in automation testing with Python, SQL scripting, Selenium, Pytest, Python BDD, and experience testing PySpark code and APIs.
Experience with ETL testing, data pipelines, AI/ML model validation, DevOps principles, Agile environment, and Docker containers.
Bachelor's degree in Information Systems, Computer Science, Engineering or related field.
Senior-level QA architect with deep expertise in automated testing frameworks and data pipeline validation.
Experienced in managing QA teams and collaborating cross-functionally with product, UX/UI, and development leads.
Strong orientation toward integrating AI/ML techniques into testing to optimize regression testing and quality lifecycle.