Specialist, Quality Assurance Engineer at Pearson
, , United States -
Full Time


Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

90000.0

Posted On

13 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Playwright, Automation, UI Testing, API Testing, AI-Assisted Testing, CI/CD Integration, JavaScript, TypeScript, Python, GitHub Actions, Page Object Model, Root Cause Analysis, Agile, Test Plans, Contract Checks, VSCode

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.
Responsibilities
The Quality Assurance Engineer will design, develop, and maintain automated test solutions using Playwright for UI and API testing, leveraging AI tools to enhance coverage and efficiency. Key duties include integrating automation into CI/CD pipelines, performing targeted manual testing, and collaborating with engineering teams to ensure software quality.
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