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 .Net.

Responsibilities

  • Automation:
  • Build and maintain Playwright E2E/UI test suites for key user journeys
  • Create robust, maintainable test architecture and reusable libraries Data, Graph & Analytics Validation
  • 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
  • Playwright
  • API automation: RestSharp / HttpClient
  • SQL proficiency
  • Proven experience in AI-assisted coding
  • 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 Graph Databases (Graph DB, SPARQL or Cypher) • SHACL validation experience • Experience with ontologies / RDF / semantic data modeling