Senior AI QA Engineer(PlayWright + Python)

india, Karnataka, Bengaluru

Full–time

Posted on: 7 days ago

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)