[Hiring] Senior Quality Engineer @Pearson

Role Description

Help shape the future of assessment technology by leading quality engineering across two mission-critical Pearson platforms: ExamDeveloper and OnVUE. You will drive testing excellence, automation maturity, and release confidence across platforms that support the full assessment lifecycle, from exam creation through secure exam delivery.

As a Senior Quality Engineer, you will serve as a technical authority for quality across one or more product domains. You will lead quality strategy, test planning, automation initiatives, and release readiness efforts while partnering with engineering, product, architecture, DevOps, security, and operations teams.

This role combines hands-on testing and automation with leadership through influence. You will help solve complex quality challenges, strengthen automation practices, mentor fellow quality engineers, and ensure the reliability, security, accessibility, and scalability of products used by millions of learners, certification candidates, and testing organizations worldwide.

The opportunities include:

• OnVUE offers a growth and governance opportunity across online proctoring and vendor partnerships.
• ExamDeveloper needs transformation, quality improvement, and more sustainable processes.

Together, these platforms support the assessment journey from exam creation to exam delivery, making quality engineering critical to both customer success and candidate experience.

What You'll Do:

• Lead test strategy and quality planning for new features, platform enhancements, and releases.
• Design comprehensive test approaches spanning functional, integration, regression, API, accessibility, negative, and end-to-end testing.
• Build, maintain, and improve automated testing coverage across web, API, and workflow scenarios.
• Perform hands-on testing for complex, high-risk, cross-functional initiatives.
• Define and enforce quality gates and release readiness criteria.
• Lead defect triage, root cause analysis, retesting, and validation activities.
• Review automation and regression results, identify trends, and improve reliability and coverage.
• Partner with Product Managers, Business Analysts, Architects, Developers, DevOps, Security, and Operations teams throughout the development lifecycle.
• Use metrics, production insights, telemetry, and defect trends to continuously improve quality practices.
• Mentor and coach quality engineers in automation design, test strategy, accessibility validation, and release readiness.
• Identify quality risks early and drive proactive mitigation plans.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 5+ years of professional quality engineering, software testing, or test automation experience.
• Experience leading quality efforts for complex web-based, cloud-hosted, or customer-facing applications.
• Strong knowledge of test strategy, defect management, regression planning, and release validation.
• Demonstrated experience providing technical guidance and mentoring within Agile engineering teams.
• Strong understanding of automation-first testing principles and quality engineering best practices.

Preferred Qualifications

• Experience with Selenium, WebDriver, Playwright, or comparable automation frameworks.
• Experience with BDD testing frameworks, including Gauge or similar tools.
• Experience testing UI, API, integration, and end-to-end workflows.
• Familiarity with Java, C#, REST APIs, and modern CI/CD practices.
• Strong SQL and database validation skills.
• Experience investigating production issues using logs, telemetry, dashboards, and monitoring tools.
• Experience validating accessibility requirements and user experience quality.
• Knowledge of distributed systems, cloud-based applications, and scalable architectures.
• Experience working with globally distributed teams, offshore partners, or vendor-supported delivery models.
• Experience leveraging AI-assisted development and testing tools responsibly, including validation of AI-generated outputs.

What Success Looks Like

• Quality strategy and test coverage are visible, measurable, and aligned with business priorities.
• Stories and defects are supported by clear testing evidence and traceability.
• Automation coverage, regression effectiveness, and release confidence continue to improve.
• Critical production defects and quality escapes are minimized.
• Quality risks are identified early and managed effectively.
• The broader quality engineering organization benefits from your mentorship, technical leadership, and continuous improvement mindset.

Location & Working Pattern

United States. Remote within the United States. Any state restrictions or travel expectations will be shared during the recruitment process.

Compensation

Compensation at Pearson is influenced by factors including skill set, experience, and location. The full-time salary range for this role is $110,000 - $120,000. This position is eligible to participate in Pearson’s sales incentive plan.

Why Join Pearson?

This is an opportunity to develop engineering talent, strengthen delivery and quality practices, and help teams adopt emerging AI-assisted ways of working across technology that supports assessment experiences at scale.