Senior Quality Assurance Engineer

Madrid - Spain

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Description

Role aim

The QA Lead ensures the reliability and quality of AIenhanced learning products by defining and executing the quality strategy driving bestinclass testing practices and working closely with engineering teams to deliver seamless and trustworthy user experiences.

Role profile

The QA Lead is responsible for ensuring the quality reliability and compliance of both traditional software components and AIdriven product features across the platform. This role plays a key part in validating system behaviour safeguarding user experience and elevating quality standards across the engineering organisation.

You will define the overall QA strategy drive its adoption across teams and actively contribute to handson testing automation and validation. Working crossfunctionally you ensure QA processes and standards are applied consistently throughout the development lifecycle.

Office
Poland / Spain / UK

Responsibilities

Define the overall QA strategy standards and processes across the product lifecycle.

Guide and support engineering teams in adopting and executing QA practices effectively.

Lead planning and execution of regression accessibility functional performance and AIspecific testing across environments.

Ensure the quality reliability and compliance of AIenhanced and traditional product features.

Validate software behaviour and AIdriven outputs to maintain a consistent and seamless user experience.

Actively contribute to manual testing automated testing (Playwright) and API validation efforts.

Collaborate with Product Engineering Data AI/ML UX Operations and Customer Service to embed quality early in design and throughout delivery.

Ensure alignment with security compliance and responsible AI requirements.

Monitor key quality indicators report risks and use insights to optimise QA processes and testing effectiveness.

Support data integrity validation for AIdriven systems and features.

Recommend improvements to processes tools and methodologies while staying up to date with industry best practices.

Foster strong crossteam collaboration knowledge sharing and contribute to a highquality inclusive engineering culture.

Most desirable qualifications:

Bachelors or Masters degree in Computer Science Software Engineering or a related field.

Experience leading QA efforts for AIdriven dataintensive or cloudbased products.

Strong background in Agile development practices.

Passion for continuous improvement automation and emerging technologies.

Proficiency in Playwright for UI automation (TypeScript or Python) including parallel execution and CI integration.

Python skills for automation utilities data generation and validation tools.

Experience with API testing (Postman/Newman or pytest requests) including schema/contract checks.

Practical experience with accessibility testing and WCAG 2.2 standards.

Securityaware testing practices aligned with OWASP Top 10 and basic ZAP scanning.

Cloud fundamentals on Azure or AWS including reading logs/metrics and working with Dockerbased test environments.

#LI-MG1

Required Experience:

Senior IC

DescriptionRole aimThe QA Lead ensures the reliability and quality of AIenhanced learning products by defining and executing the quality strategy driving bestinclass testing practices and working closely with engineering teams to deliver seamless and trustworthy user experiences.Role profileThe QA L...

Description

Role aim

Role profile

Responsibilities

Define the overall QA strategy standards and processes across the product lifecycle.

Guide and support engineering teams in adopting and executing QA practices effectively.

Lead planning and execution of regression accessibility functional performance and AIspecific testing across environments.

Ensure the quality reliability and compliance of AIenhanced and traditional product features.

Validate software behaviour and AIdriven outputs to maintain a consistent and seamless user experience.

Actively contribute to manual testing automated testing (Playwright) and API validation efforts.

Collaborate with Product Engineering Data AI/ML UX Operations and Customer Service to embed quality early in design and throughout delivery.

Ensure alignment with security compliance and responsible AI requirements.

Monitor key quality indicators report risks and use insights to optimise QA processes and testing effectiveness.

Support data integrity validation for AIdriven systems and features.

Recommend improvements to processes tools and methodologies while staying up to date with industry best practices.

Foster strong crossteam collaboration knowledge sharing and contribute to a highquality inclusive engineering culture.

Most desirable qualifications:

Bachelors or Masters degree in Computer Science Software Engineering or a related field.

Experience leading QA efforts for AIdriven dataintensive or cloudbased products.

Strong background in Agile development practices.

Passion for continuous improvement automation and emerging technologies.

Proficiency in Playwright for UI automation (TypeScript or Python) including parallel execution and CI integration.

Python skills for automation utilities data generation and validation tools.

Experience with API testing (Postman/Newman or pytest requests) including schema/contract checks.

Practical experience with accessibility testing and WCAG 2.2 standards.

Securityaware testing practices aligned with OWASP Top 10 and basic ZAP scanning.

Cloud fundamentals on Azure or AWS including reading logs/metrics and working with Dockerbased test environments.

#LI-MG1

Required Experience:

Senior IC

Key Skills

Continuous Integration
APIs
Jenkins
Test Cases
Performance Testing
Quality Assurance
Agile
Jira
Software Testing
Java
Test Automation
Selenium

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About Company

Pearson

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, gen ... View more

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