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Lead Quality Engineer (AI)

136 125 - 283 750$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Quality Engineer (AI): Architecting scalable automated testing frameworks, AI-driven quality pipelines, and CI/CD quality gates across Yahoo Sports web, mobile, API, and cloud platforms with an accent on high-concurrency testing, observability, and release assurance. Focus on generating test cases with AI, diagnosing flaky failures, validating performance, and establishing quality engineering standards across squads.

Location: United States of America; flexible hybrid work with occasional in-person events or team sessions.

Salary: $136,125–$283,750 per year, with potential discretionary annual bonus or commissions.

Company

hirify.global Sports delivers sports news, fantasy games, live scores, and digital experiences for millions of sports fans.

What you will do

  • Architect and maintain scalable test automation frameworks and utilities for web, iOS, Android, APIs, and cloud services.
  • Build AI-driven pipelines that generate test cases, synthesize edge-case data, and accelerate automation development.
  • Develop AI-powered diagnostics using Datadog, CloudWatch, Splunk, and observability data to identify flaky tests and root causes.
  • Integrate functional, regression, integration, performance, and security testing into CI/CD pipelines and establish quality gates.
  • Partner with software engineers, architects, and product managers to improve testability, contract validation, and risk mitigation.
  • Set quality engineering standards, lead defect triage and release risk assessment, and mentor senior quality engineers.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Quality Management, or a related technical discipline.
  • 7+ years of experience in Quality Engineering or SDET roles with architectural leadership experience.
  • Hands-on experience with AI-assisted development and testing tools such as GitHub Copilot, Cursor, or LLM-assisted script generation.
  • Deep expertise in test automation frameworks including Playwright, Appium, Cypress, Selenium, or similar tools.
  • Experience testing iOS and Android applications, consumer web applications, REST or GraphQL APIs, and microservice architectures.
  • Strong programming skills in Python, TypeScript, Java, or scripting languages, plus CI/CD integration experience with GitHub Actions or Jenkins.

Nice to have

  • Master’s degree in Computer Science or Software Engineering.
  • Experience with synthetic data generators and agentic AI test runners for high-concurrency applications.
  • Experience testing high-traffic, real-time streaming, or live sports scoring systems.
  • Interest in evaluating emerging AI testing frameworks.

Culture & Benefits

  • Flexible hybrid work with advance notice for occasional in-person events or team sessions.
  • Healthcare benefits and a 401(k) plan.
  • Backup childcare and education stipends.
  • Inclusive workplace supported by employee resource groups.

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