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Lead QA Engineer - Test Automation (SDET)

Sony Interactive Entertainment
San Mateo, CA
On-site

About this role

Job title: Lead QA Engineer - Test Automation (SDET)

About the Role Sony Interactive Entertainment is seeking a Lead QA Engineer to own end-to-end quality engineering for sophisticated PlayStation features, systems, and platform integrations. You will lead test automation efforts across multiple platforms and drive high-quality software releases.

What You'll Do

  • Lead end-to-end QE strategy for features, systems, and platform integrations across PlayStation applications and services
  • Architect, design, and implement scalable automated test frameworks for UI, API, integration, and system-level testing
  • Define comprehensive test strategies, risk assessments, and quality metrics aligned with product and engineering goals
  • Develop and maintain robust automated test suites for web, backend, and platform services using modern automation tools and frameworks
  • Drive automation guidelines, coding standards, and continuous improvement initiatives across QE and development teams
  • Mentor junior and mid-level SDETs/QEs through code reviews, technical guidance, and testing strategy leadership
  • Collaborate closely with software engineers, product managers, DevOps, and release teams to improve overall software quality and delivery efficiency
  • Analyze test results, production issues, and system telemetry to identify root causes and implement long-term quality improvements
  • Build and optimize CI/CD automation pipelines to support continuous testing and rapid release cycles
  • Advocate for shift-left testing, testability improvements, and quality engineering culture across distributed teams

What We're Looking For

  • BS or MS in Computer Science, Engineering, or related technical field, or equivalent
  • 6+ years of experience in Software Development Engineering in Test (SDET), Quality Engineering, or automation-focused software development
  • Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems
  • Strong programming experience

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