Padmi

AI QA Engineer

HyderabadPosted 3 months ago
Software QualitySeniorFull Time; Regular
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Opens the source posting on shine.com

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As a Senior General QA Engineer for the next generation capital markets platform, your role will involve owning manual and automated UI, end-to-end, workflow, and data validation using Playwright and Python. Your responsibilities will include: - Automation: - Building and maintaining Playwright end-to-end/UI test suites for key user journeys - Utilizing Playwrights APIRequestContext for API and workflow testing - Creating robust and maintainable test architecture and reusable libraries - Data, Graph & Analytics Validation: - Writing Python-based validators to check analytics logic - Validating SQL Server data transformations, calculations, and outputs - Running GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies - Ensuring consistency of data flowing through APIs, SQL/Graph, and UI - Quality Strategy: - Collaborating across backend, data science, and product teams - Defining regression coverage, test data strategy, and reporting standards In terms of mandatory skills, you should possess: - Strong experience (5+ years) in C#/.NET test automation - Strong Python skills (5+ years experience) - UI automation experience with Selenium/Playwright - API automation experience with RestSharp/HttpClient - Experience with Graph Databases (Graph DB, SPARQL, or Cypher) - SHACL validation experience - SQL proficiency - Experience testing data lakehouse tech (Iceberg) - RAG/LLM QA experience - CI/CD pipeline automation knowledge (Docker, GitHub Actions/GitLab) - 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 skills include: - Experience with Capital Markets, trading, market data, or financial analytics - Exposure to event-driven workflows or streaming systems - Experience with reporting tools (Allure, ReportPortal, etc.) - Experience with ontologies/RDF/semantic data modeling - Infrastructure as Code understanding (Terraform/CloudFormation basics) As a Senior General QA Engineer for the next generation capital markets platform, your role will involve owning manual and automated UI, end-to-end, workflow, and data validation using Playwright and Python. Your responsibilities will include: - Automation: - Building and maintaining Playwright end-to-end/UI test suites for key user journeys - Utilizing Playwrights APIRequestContext for API and workflow testing - Creating robust and maintainable test architecture and reusable libraries - Data, Graph & Analytics Validation: - Writing Python-based validators to check analytics logic - Validating SQL Server data transformations, calculations, and outputs - Running GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies - Ensuring consistency of data flowing through APIs, SQL/Graph, and UI - Quality Strategy: - Collaborating across backend, data science, and product teams - Defining regression coverage, test data strategy, and reporting standards In terms of mandatory skills, you should possess: - Strong experience (5+ years) in C#/.NET test automation - Strong Python skills (5+ years experience) - UI automation experience with Selenium/Playwright - API automation experience with RestSharp/HttpClient - Experience with Graph Databases (Graph DB, SPARQL, or Cypher) - SHACL validation experience - SQL proficiency - Experience testing data lakehouse tech (Iceberg) - RAG/LLM QA experience - CI/CD pipeline automation knowledge (Docker, GitHub Actions/GitLab) - 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 skills include: - Experience with Capital Markets, trading, market data, or financial analytics - Exposure to event-driven workflows or streaming systems - Experience with reporting tools (Allure, ReportPortal, etc.) - Experience with ontologies/RDF/semantic data modeling - Infrastructure as Code understanding (Terraform/CloudFormation basics)

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