Specialist, Quality Assurance Engineer

Pearson is a leading lifelong learning company dedicated to helping individuals realize their potential through education. They are seeking a Quality Assurance Engineer to design, develop, and maintain automated test solutions for software products, focusing on scalable UI and API test automation and leveraging AI-assisted tools for improved quality and efficiency.

Responsibilities:

• Design, develop, and maintain automated test suites utilizing AI technologies using Playwright for web frontend and backend testing
• Apply best practices in test automation, including:
• Page Object Model (POM) or Screenplay patterns
• Test data management strategies
• Parallel execution and test isolation
• Stable selectors and resilient locators
• Leverage AI-powered testing tools to generate, optimize, and maintain test cases and test data
• Integrate automation into CI/CD pipelines to support continuous testing
• Perform targeted manual testing when needed and for story verification, exploratory testing, and edge‑case validation
• Collaborate with the engineering team to understand requirements and provide early feedback on Design and Implementation
• Create automated API tests and contract checks
• Create detailed, comprehensive test plans and cases
• Analyze test and production data to identify trends, risks, and opportunities for improvement
• Review design plans, process procedures, and quality manuals
• Maintain quality records and compliance documentation
• Analyse data to identify trends and prevent defects
• Recommend and implement corrective actions
• Apply Root Cause Analysis (RCA) tools and methodologies for problem-solving
• Work closely with development, product, and content teams
• Participate in Agile ceremonies
• Promote agile principles: adaptability, transparency, iterative development

Requirements:

• Bachelor's degree in engineering or related discipline
• Minimum of 2 years of experience in QA/testing and quality engineering
• Familiarity with quality tools and methodologies
• Design, develop, and maintain automated test suites utilizing AI technologies using Playwright for web frontend and backend testing
• Apply best practices in test automation, including: Page Object Model (POM) or Screenplay patterns, Test data management strategies, Parallel execution and test isolation, Stable selectors and resilient locators
• Leverage AI-powered testing tools to generate, optimize, and maintain test cases and test data
• Integrate automation into CI/CD pipelines to support continuous testing
• Perform targeted manual testing when needed and for story verification, exploratory testing, and edge-case validation
• Collaborate with the engineering team to understand requirements and provide early feedback on Design and Implementation
• Create automated API tests and contract checks
• Create detailed, comprehensive test plans and cases
• Analyze test and production data to identify trends, risks, and opportunities for improvement
• Review design plans, process procedures, and quality manuals
• Maintain quality records and compliance documentation
• Analyse data to identify trends and prevent defects
• Recommend and implement corrective actions
• Apply Root Cause Analysis (RCA) tools and methodologies for problem-solving
• Work closely with development, product, and content teams
• Participate in Agile ceremonies
• Promote agile principles: adaptability, transparency, iterative development
• Quality certifications (preferred)
• AI Tools: GitHub Copilot within VSCode, AI agents, MCP server
• Automation Tools: Playwright (Preferred), Cypress, Selenium or similar
• Programming/Scripting: JavaScript/ TypeScript, Java, Python
• Development/pipeline tools: VSCode, GitHub, GitHub Actions, Testfully or Postman
• Databases: MySQL, Postgres, DynamoDB
• Solid understanding of CI/CD Pipelines using GitHub Action and DevOps practices
• Strong communication and teamwork
• Analytical and problem-solving mindset
• Adaptability to changing requirements
• Ability to prioritize and manage multiple tasks