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Niche AI/data QA and senior requirement reduce candidate pool despite metro location.
Strong AI/data pipeline and LLM QA expertise required, reducing cross-industry transferability.
Explicit 8+ years requirement with mandatory Java, Selenium, API, data 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 focusing on API, data, and AI workflow validation.
Develop and maintain UI and API automation, integrate tests into CI/CD pipelines (GitHub Actions, GitLab, Jenkins, AWS CodeBuild) and configure test runs in AWS environments.
Contribute to QA strategy, improve test stability and runtime, define KPIs, and collaborate closely with Product, Developers, Data, and AI teams to ensure quality across the platform.
8+ years of strong 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), with RAG/LLM QA experience (prompt testing, embeddings validation).
Experience with CI/CD pipeline automation using Docker and GitHub Actions/GitLab/Azure DevOps.
English proficiency at B2 Upper Intermediate level; Location requirement: Senior role based in Hyderabad, India.
Expertise in automated testing within complex, data-heavy, AI-enabled environments, especially in validating large datasets and AI workflows.
Hands-on experience integrating test automation into cloud-based CI/CD pipelines and AWS test environments.
Experience or familiarity with financial domain technologies such as Capital Markets or market data analytics, and strong Python skills are advantageous but not mandatory.