Senior AI QA Engineer

As a Senior Automation QA Engineer at our company, you will be responsible for designing and implementing a complete automated testing framework for a complex, data-heavy, AI-enabled market data analytics platform. Your role will focus on API, data, semantic/graph, and AI workflow validation. You will collaborate closely with backend and frontend engineers, data engineers, and ML teams to build a robust automated quality layer across all components of the platform. **Responsibilities:** - Analyze requirements, acceptance criteria, and specifications for new features. - Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows. - Perform functional, regression, exploratory, and integration testing. - Validate correctness of data transformation, analytical workflows, and large dataset processing. - Collaborate with Product, Developers, and Data/AI Engineers to clarify expected behavior. **Automation:** - Develop and maintain UI automation using Selenium and Playwright. - Implement E2E scenarios covering cross-service workflows. - Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS CodeBuild). - Configure test runs in AWS environments (dev/stage). - Participate in root-cause analysis of defects and quality incidents. **Quality Engineering:** - Contribute to QA strategy and test automation roadmap. - Improve test stability, reduce flakiness, optimize runtime. - Define KPIs for coverage, quality, and regression scope. - Support test data preparation and environment setup. **Skills Required:** - Strong experience (5+ years) in Java test automation. - Strong Python skills (5+ years experience). - UI automation: Selenium. - API automation: RestSharp / HttpClient / Postman. - Experience with Graph Databases (Graph DB, SPARQL or Cypher). - SHACL validation experience. - SQL proficiency. - Experience testing data lakehouse tech (Iceberg). - RAG/LLM QA experience (prompt testing, embeddings validation). - CI/CD pipeline automation (Docker, GitHub Actions/GitLab/Azure DevOps). - Solid understanding of testing methodologies, QA lifecycle, and Agile processes. - Ability to analyze complex workflows and large datasets. - Strong communication skills and a proactive mindset. **Nice to have:** - Experience with Capital Markets, trading, market data, or financial analytics. - LangChain familiarity. - Performance testing (Locust/k6). - Experience with ontologies / RDF / semantic data modeling. - Infrastructure as Code understanding (Terraform/CloudFormation basics). **Additional Details:** - **Languages:** English: B2 Upper Intermediate - **Seniority:** Senior - **Location:** Noida, India - **Industry:** BCM - **Application Deadline:** 30/03/2026 As a Senior Automation QA Engineer at our company, you will be responsible for designing and implementing a complete automated testing framework for a complex, data-heavy, AI-enabled market data analytics platform. Your role will focus on API, data, semantic/graph, and AI workflow validation. You will collaborate closely with backend and frontend engineers, data engineers, and ML teams to build a robust automated quality layer across all components of the platform. **Responsibilities:** - Analyze requirements, acceptance criteria, and specifications for new features. - Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows. - Perform functional, regression, exploratory, and integration testing. - Validate correctness of data transformation, analytical workflows, and large dataset processing. - Collaborate with Product, Developers, and Data/AI Engineers to clarify expected behavior. **Automation:** - Develop and maintain UI automation using Selenium and Playwright. - Implement E2E scenarios covering cross-service workflows. - Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS CodeBuild). - Configure test runs in AWS environments (dev/stage). - Participate in root-cause analysis of defects and quality incidents. **Quality Engineering:** - Contribute to QA strategy and test automation roadmap. - Improve test stability, reduce flakiness, optimize runtime. - Define KPIs for coverage, quality, and regression scope. - Support test data preparation and environment setup. **Skills Required:** - Strong experience (5+ years) in Java test automation. - Strong Python skills (5+ years experience). - UI automation: Selenium. - API automation: RestSharp / HttpClient / Postman. - Experience with Graph Databases (Graph DB, SPARQL or Cypher). - SHACL validation experience. - SQL proficiency. - Experience testing data lakehouse tech (Iceberg). - RAG/LLM QA experience (prompt testing, embeddings validation). - CI/CD pipeline automation (Docker, GitHub Actions/GitLab/Azure DevOps). - Solid understanding of testing methodologies, QA lifecycle, and Agile processes. - Ability to analyze complex workflows and large datasets. - Strong communication skills and a proacti