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Test Automation Engineer( Azure AI , Playwright ,Python​/Javascript

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Cognizant
Full Time position
Listed on 2026-10-28
Job specializations:
  • Quality Assurance - QA/QC
    AI QA / Validation Engineer, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Key Responsibilities
  • K6/Locust Performance Testing, Load/Stress Testing, Scalability Validation, Performance Analysis, and Azure Monitoring.
  • Azure AI Foundry Evaluation, Golden Dataset Validation, RAG Testing, Hallucination Detection, and AI Output Quality Assurance.
  • Azure AI Foundry Red Teaming, Prompt Injection Testing, Bias & Fairness Assessment, Toxicity Testing, and Responsible AI Validation.
  • Azure Dev Ops, CI/CD Automation, Accessibility Testing (WCAG 2.2 AA), Security Testing, and Test Reporting & Governance.
Required Skills & Experience
  • Strong hands‑on experience with Playwright automation.
  • Proven experience designing, enhancing, and maintaining scalable test automation frameworks.
  • Strong experience in UI, API, functional, regression, integration, and end-to-end automation testing.
  • Experience with REST API automation and tools such as Postman or equivalent.
  • Strong working knowledge of Azure Dev Ops
    , Git, CI/CD pipelines, automated test execution, and reporting.
  • Good understanding of automation design patterns, reusable components, test-data management, and reliable locator strategies.
  • Experience analysing test failures and debugging automation code and application issues.
  • Good understanding of Agile/Scrum delivery and quality engineering practices.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Experience with performance testing tools such as K6, Locust, JMeter, or Azure Load Testing
    .
  • Experience with AI/GenAI solution testing, including RAG evaluation, golden datasets, hallucination detection, prompt-injection testing, bias/fairness assessment, or responsible AI validation
    .
  • Knowledge of accessibility automation and WCAG standards.
  • Exposure to security testing and authentication mechanisms such as OAuth/OIDC/SSO.
  • Familiarity with AI-assisted engineering tools such as Git Hub Copilot for accelerating test design and automation development.
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