Pearson
Senior Quality Assurance Engineer
Edtech.com's Summary
- Design, develop, and maintain automated test suites using Playwright and AI technologies.
- Implement best practices in test automation such as POM or Screenplay patterns, test data management, parallel execution, and stable selectors.
- Leverage AI-powered tools to generate and optimize test cases and data.
- Integrate automation within CI/CD pipelines for continuous testing.
- Perform manual testing for story verification, exploratory testing, and edge-case validation.
- Collaborate with development, product, and content teams to provide early feedback.
- Preferred technical skills include GitHub Copilot, Playwright, Cypress, Selenium, JavaScript/TypeScript, Java, Python, VSCode, GitHub Actions, and advanced databases like MySQL, Postgres, and DynamoDB.
- Requires Bachelor's degree in engineering or related discipline and at least 5 years of quality engineering and automation experience.
- Strong communication, leadership, analytical, and problem-solving skills with adaptability to changing requirements.
- Responsible for managing defect processes, release quality, quality systems, compliance documentation, and applying root cause analysis with CAPAs.
Senior Quality Assurance Engineer Full Description
Job Title: Senior Quality Assurance Engineer
Location: Remote
Employment Type: Full-Time
Department: Engineering
Reports to: QA Manager
Job Summary
We are seeking a forward-thinking Senior 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
Research new AI tools and practices
Maintain Test data, Test Environments, and automation infrastructure
Continuously evaluate emerging AI technologies and tools to enhance test effectiveness and efficiency
Manage the process around continuous execution
Integrate automation into CI/CD pipelines to support continuous testing
Perform targeted manual testing when needed and for story verification, exploratory testing, and edgeâcase validation
Collaborate with the engineering team on multiple projects 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 for Functional, Smoke, Integration and Regression testing
Manage the release quality and produce release metrics
Manage the defect process
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
Analyze data to identify trends and prevent defects
Implement process changes to improve quality
Recommend and implement corrective actions
Apply Root Cause Analysis (RCA) tools and methodologies for problem-solving, and follow through on Corrective And Preventative Actions (CAPAs)
Collaboration & Agile Practices
Work closely with development, product, and content teams, and act as a champion of quality
Participate in Agile ceremonies
Promote agile principles: adaptability, transparency, iterative development
Preferred Technical Skills
AI Tools: GitHub Copilot within VSCode, AI agents, MCP server
Advanced Automation Tools: Playwright (Preferred), Cypress, Selenium or similar
Advanced Programming/Scripting: JavaScript/ TypeScript, Java, Python,
Advanced Development/pipeline tools: VSCode, GitHub, GitHub Actions, Testfully or Postman
Advanced Databases: MySQL, Postgres, DynamoDB
Advanced understanding of CI/CD Pipelines using GitHub Action and DevOps practices
Soft Skills
Strong communication and team leadership
Solid Analytical and problem-solving mindset
Adaptability to changing requirements, with a change mindset
Lead the team to prioritize and manage multiple tasks
Qualifications
Bachelor's degree in engineering or related discipline
Minimum of 5 years of experience in quality engineering and automation
Strong Experience with quality tools and methodologies
Quality certifications (preferred)
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job:
Engineering
Job Family: TECHNOLOGY
#LI-REMOTE
Similar Jobs
Advanced Associate, Content Quality Assurance
Pearson
🇮🇳 Remote - IN
Senior Quality Assurance Engineer
Pearson
🇮🇳 Hybrid - IN
Software Quality Analyst (USA Remote)
TurnItIn
🇺🇸 Remote - DC
Software Quality Analyst (USA Remote)
TurnItIn
🇺🇸 Remote - GA
Software Quality Analyst (UK Remote)
TurnItIn
🇬🇧 Remote - GB
