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Senior metro QA role with common title but AI/data specialization yields moderate competition.
AI/LLM and data-pipeline QA focus limits transferability across industries moderately.
Explicit 8+ years requirement plus mandatory Java automation, Selenium, API and CI/CD skills.
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Design and implement a comprehensive automated testing framework for a complex AI-enabled market data analytics platform.
Develop and maintain UI and API automation including E2E testing scenarios integrated into CI/CD pipelines in AWS environments.
Collaborate with backend, frontend, data, and ML teams to ensure robust quality validation of data workflows and AI components.
8+ years of experience in Java test automation, including UI automation with Selenium and API automation (RestSharp/HttpClient/Postman).
Proficiency in SQL and experience testing data pipelines (ETL/ELT).
Experience with RAG/LLM QA (prompt testing, embeddings validation) and CI/CD automation using Docker and GitHub Actions/GitLab/Azure DevOps.
Location: Senior level role based in Noida, India; English proficiency at B2 Upper Intermediate.
Experienced in automated testing within complex data and AI workflows involving large datasets and analytical validation.
Skilled at integrating and maintaining test automation in CI/CD pipelines across cloud environments like AWS.
Familiarity with financial or capital markets domain and strong Python skills (5+ years) are advantageous but not mandatory.