Quality Assurance Engineer III at Pearson PlcWestminster

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

90000.0

Posted On

23 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Playwright, AI-Assisted Testing, API Testing, CI/CD Pipelines, TypeScript, JavaScript, Java, Python, GitHub Actions, Page Object Model, Root Cause Analysis, Agile Methodologies, MySQL, Postgres, DynamoDB, Test Data Management

Industry

Education

Description

Job Summary We are seeking a forward-thinking Quality Assurance Engineer (Playwright Automation) to design, develop, and maintain automated test solutions that ensure the quality, performance, and reliability of our software products. This role focuses on building scalable UI and API test automation, leveraging of AI-assisted testing tools and intelligent automation to improve test coverage, reduce maintenance effort, and accelerate high-quality releases Key Responsibilities Testing & Validation 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 Quality Systems & Compliance * 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 Collaboration & Agile Practices * Work closely with development, product, and content teams * Participate in Agile ceremonies * Promote agile principles: adaptability, transparency, iterative development * Preferred Technical Skills * 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 Soft Skills * Strong communication and teamwork * Analytical and problem-solving mindset * Adaptability to changing requirements * Ability to prioritize and manage multiple tasks Qualifications * 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 * Quality certifications (preferred) Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $80,000 - $90,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://pearsonbenefitsus.com/]. Applications will be accepted through 26th January 2026. This window may be extended depending on business needs. #LI-EB1

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Responsibilities

Design and maintain automated UI and API test suites using Playwright and AI-powered tools to ensure software reliability. Integrate automation into CI/CD pipelines and collaborate with engineering teams to implement quality standards and root cause analysis.