Senior AI QA Engineer PlayWright + Python

Project description Our team is building a next generation capital markets platform that transforms routine manual-heavy analytics and decision making into a proactive, AI driven continuous process. We're looking for a Senior General QA Engineer who will own manual and automated UI, E2E, workflow, and data validation using Playwright and Python. Responsibilities Automation: Build and maintain Playwright E2E/UI test suites for key user journeys Use Playwrights APIRequestContext for API + workflow testing Create robust, maintainable test architecture and reusable libraries Data, Graph & Analytics Validation Write Python-based validators to check analytics logic Validate SQL Server data transformations, calculations, and outputs Run GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies Ensure consistency of data flowing through APIs SQL/Graph UI Quality Strategy Collaborate across backend, data science, and product teams Define regression coverage, test data strategy, and reporting standards SKILLS Must have Strong experience (5+ years) in C#/.NET test automation Strong Python skills (5+ years experience) UI automation: Selenium / Playwright API automation: 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 (prompt testing, embeddings validation) CI/CD pipeline automation (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 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) Project description Our team is building a next generation capital markets platform that transforms routine manual-heavy analytics and decision making into a proactive, AI driven continuous process. We're looking for a Senior General QA Engineer who will own manual and automated UI, E2E, workflow, and data validation using Playwright and Python. Responsibilities Automation: Build and maintain Playwright E2E/UI test suites for key user journeys Use Playwrights APIRequestContext for API + workflow testing Create robust, maintainable test architecture and reusable libraries Data, Graph & Analytics Validation Write Python-based validators to check analytics logic Validate SQL Server data transformations, calculations, and outputs Run GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies Ensure consistency of data flowing through APIs SQL/Graph UI Quality Strategy Collaborate across backend, data science, and product teams Define regression coverage, test data strategy, and reporting standards SKILLS Must have Strong experience (5+ years) in C#/.NET test automation Strong Python skills (5+ years experience) UI automation: Selenium / Playwright API automation: 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 (prompt testing, embeddings validation) CI/CD pipeline automation (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 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)