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2 часа назад

QA Engineering Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

QA Engineering Manager (AI): Leading a team of QA engineers in the design, development, and delivery of high-performance analytics engines with an accent on computer vision, machine learning, and sensor fusion. Focus on building robust test frameworks, implementing CI/CD processes, and driving quality strategy for enterprise-scale vehicle event analysis systems.

Location: Must be based in Madrid

Company

hirify.global is a global leader in data and software services transforming the vehicle lifecycle through connected digital experiences and advanced automation.

What you will do

  • Lead and mentor a team of QA engineers to deliver high-quality software solutions.
  • Design and implement comprehensive testing strategies, including manual and automated test frameworks.
  • Collaborate with cross-functional leads to integrate quality assurance into the full software development lifecycle.
  • Establish metrics to monitor system effectiveness and drive continuous process improvement.
  • Manage relationships with internal and external stakeholders to align QA efforts with business goals.
  • Oversee the development of CI/CD pipelines and ensure robust testing for AI/ML-driven platforms.

Requirements

  • Must be based in Madrid.
  • 10+ years of professional experience in the QA field.
  • 1+ years of experience as a quality assurance manager in an agile environment.
  • Proven track record in leading architecture and operations of enterprise-scale testing frameworks.
  • Experience with AI/ML-driven testing platforms and predictive analytics.
  • Proficiency in Selenium, TestNG, API testing, and CI/CD tools like Jenkins.
  • Experience with Scaled Agile Framework (SAFe) and Test Driven Development.

Culture & Benefits

  • Work in a global, innovative environment focused on cutting-edge automotive and AI technology.
  • Opportunity to lead and shape a high-performing engineering team.
  • Emphasis on continuous learning, professional development, and technical excellence.
  • Collaborative culture that values empathy, pragmatism, and strategic thinking.

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