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QA

Senior AI QA Engineer: PlayWright + .Net

LuxoftNoida19 дн. назад

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