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Senior Quality Assurance Engineer
Pearson VUE. Lead test strategy and coverage planning for assigned squad initiatives, releases, and platform changes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading quality engineering initiatives, including test strategy, automation, and defect management for complex, cloud-based platforms. Proficient in mentoring teams and ensuring high standards of quality through effective testing methodologies and metrics-driven improvements.
Highest-signal resume keywords
Test Strategy DevelopmentAutomation Testing with Selenium/WebDriverAgile Quality Engineering LeadershipDefect Management and ResolutionGauge-Style BDD Automation
ATS Keywords
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Hard Skills
Quality EngineeringTest AutomationRegression PlanningSQLTest Data ValidationAPI TestingAccessibility TestingIntegration TestingFunctional TestingDefect Investigation
Soft Skills
MentoringTechnical GuidanceCollaborationProblem-SolvingCommunication
Tools & Technologies
Selenium/WebDriverC#Virtual MachinesCloud-Based Testing InfrastructureAI Technologies
Industry Keywords
Agile EngineeringQuality GatesTest Readiness CriteriaExploratory TestingCustomer-Facing Platforms
Tech Stack
Tools & technologiesCloudSeleniumSQL
About the role
Key responsibilities & impact- Lead test strategy and coverage planning for assigned squad initiatives, releases, and platform changes
- Design advanced functional, regression, integration, negative, accessibility, and API test approaches
- Define quality gates and test readiness criteria for stories, defects, releases, and production-impacting changes
- Ensure stories and defects include clear testing evidence, edge cases, environment details, data notes, and traceability
- Use metrics, defect trends, and production signals to improve test strategy
- Perform hands-on testing for high-risk, complex, cross-team, or automation-critical work
- Create, improve, and review automated UI, API, integration, and regression tests
- Review regression results and resolve flaky, missing, or outdated tests
- Perform manual, exploratory, accessibility, usability, and complex workflow testing when needed
- Lead defect triage, retesting, and resolution follow-through; escalate major quality concerns
- Serve as technical authority on quality and inform critical release decisions
- Mentor and coach quality engineers in automation, test design, accessibility, and release validation
- Provide quality perspective during backlog refinement, design reviews, technical planning, and release readiness
- Surface QE capacity, coverage, and dependency risks early
- Protect workflow accuracy, automation reliability, delivery confidence, and product quality for ExamDeveloper, a web-based exam development platform
Requirements
What you’ll need- 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
- Demonstrated experience leading quality for complex, distributed, cloud-based, or customer-facing platforms
- Strong experience with test strategy, test design, defect management, regression planning, and release validation
- Experience providing technical guidance and mentorship within Agile engineering squads
- Experience with Gauge-style BDD automation, Selenium/WebDriver, C# step implementations, and sustainable web application test automation
- Experience maintaining automated test suites that run on virtual machines, with awareness of potential cloud-based testing infrastructure
- Experience with relational databases, test data validation, defect investigation, and evidence-based quality review
- Experience with SQL, log analysis, telemetry, dashboards, and production issue investigation
- Demonstrated technical leadership in Agile quality engineering, including test planning, automation review, and continuous improvement
- Willingness and ability to incorporate artificial intelligence technologies into QA responsibly, including validation of AI-assisted outputs
- Experience working with offshore teams, vendors, and globally distributed delivery models