Lead Quality Engineer

Lead Quality Engineer (Finance)

Yahoo Sports is one of the internet's leading destinations for comprehensive sports news and innovative fantasy games. We produce insightful content across multiple platforms and curate quality coverage from around the web to inform and entertain fans. We're an original fantasy sports pioneer, with a legacy of innovation that helps us continue to be a fantasy leader. And as one of the most-visited sports platforms on the internet, we're one of the best places for brands to reach fans.

The Yahoo Sports Quality Engineering team architects the automated testing infrastructure, continuous integration quality gates, and performance validation engines that power our digital sports ecosystem. Operating across Web, iOS, Android, live scores, and fantasy platforms, our squad bridges software engineering and quality assurance to guarantee seamless, high-concurrency experiences for millions of active sports fans daily.

• Quality Framework Architecture:
  Architect, build, and maintain scalable, reusable test automation frameworks (Playwright, Appium, Cypress) and test utilities across Web, mobile (iOS/Android), API, and cloud services (IC5 level).
• AI-Augmented Quality Engineering:
  Architect and deploy AI-driven test automation pipelines (leveraging tools such as Git Hub Copilot Enterprise and Anthropic Claude via AWS Bedrock) to automatically generate test cases, synthesize edge-case data, and accelerate automation script development.
• AI-Powered Diagnostics & Root Cause Analysis:
  Build automated diagnostic engines that leverage AI and observability tools (Datadog, Cloud Watch, Splunk) to analyze execution failures, detect flaky test patterns, and automate root cause investigations.
• CI/CD Quality Gates & Release Assurance:
  Integrate automated functional, regression, integration, performance, and security testing directly into CI/CD pipelines, establishing deterministic quality gates for continuous deployment.
• Cross-Squad Quality Leadership:
  Collaborate upstream with Software Engineers, Architects, and Product Managers during design and code reviews to embed testability, contract validation, and risk mitigation early in the SDLC.
• Defect Triage & Observability Automation:
  Drive defect management and release risk assessments using AI-assisted triage tools (such as Atlassian AI) to map test coverage, classify regression trends, and optimize build stability.
• Engineering Standards & Mentorship:
  Establish enterprise-wide quality engineering standards, champion best practices in test design and contract testing, and mentor senior QEs across Yahoo Sports.

• Bachelor's degree in Computer Science, Engineering, Quality Management, or a related technical discipline.
• 7+ years of professional experience in Quality Engineering or Software Development Engineer in Test (SDET) roles, with a proven track record of architectural leadership.
• Hands-on proficiency with AI-assisted software development and testing tools (e.g., Git Hub Copilot, Cursor, LLM-assisted script generation).
• Deep expertise in building modern, maintainable test automation frameworks using Playwright, Appium, Cypress, Selenium, or similar frameworks.
• Strong expertise in testing mobile applications (iOS/Android), consumer web applications, REST/GraphQL APIs, and microservice architectures.
• Strong programming skills in Python, Type Script, Java, or scripting languages, with hands-on experience integrating test suites into CI/CD pipelines (Git Hub Actions, Jenkins).
• Demonstrated experience establishing quality metrics, performance/load testing strategies, and observability instrumentation (Datadog, Cloud Watch, Splunk).

• Master's degree in Computer Science or Software Engineering.
• Experience evaluating or designing synthetic data generators and agentic AI test runners for high-concurrency mobile or web applications.
• Direct experience testing high-traffic, real-time streaming, or live sports scoring systems.
• A commitment to continuous learning and proactively evaluating emerging AI testing frameworks to elevate engineering velocity and product reliability.

The material job…