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