{bc}
oracle

Senior Quality Engineer

Pearson
Remote, USA
Full-time
Senior · 5+ years experience
Remote
Discovered 2 weeks ago
JavaSQL

Full Job Posting

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.
  • What We're Looking For
  • 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. Information on benefits can be found here. Applications will be accepted through November 9, 2026. This window may be extended depending on business needs.
  • 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.

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.

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