Senior AI QA Engineer: PlayWright + .Net
Коротко
Owns manual and automated UI, E2E, workflow, and data validation for a capital markets platform using Playwright and .Net; validates SQL Server data and · Needs: 7+ years in C#/.NET test automation; Playwright; RestSharp/HttpClient; SQL; AI-assisted coding; RAG/LLM QA; CI/CD with Docker and GitHub Actions/GitLab.
Описание от работодателя
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 (7+ 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