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 Playwright's 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

Mandatory Skills Description:

• 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 Skills Description:

• 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)