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6 часов назад

Senior QA Engineering Manager (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Senior QA Engineering Manager (AI/ML): Leading the design, development, and delivery of high-performance analytics engines (computer vision, ML, sensor fusion) and vehicle event analysis systems with an accent on enterprise-scale testing frameworks. Focus on building robust CI/CD procedures, implementing quality metrics, and mentoring a high-performing QA team to drive product reliability.

Location: Seville

Company

hirify.global is a global leader in data and software services transforming the vehicle lifecycle into a connected digital experience through cognitive answers, insights, and automation.

What you will do

  • Lead a team of QA engineers in the delivery of high-performance analytics and vehicle event analysis engines.
  • Design, implement, and document procedures for process control, testing, and CI/CD.
  • Establish and implement metrics to monitor system effectiveness and enable sound product quality decisions.
  • Oversee the development of new test frameworks and the implementation of manual and automated test solutions.
  • Collaborate with cross-functional leads to increase the SQA impact on the end product and mitigate risks.
  • Attract, build, and retain a highly engaged and capable quality assurance team.

Requirements

  • 12+ years of career experience in the QA field.
  • 3-5 years of professional experience as a QA Manager in an agile environment (or 1+ years as a Senior SQA Manager).
  • Proven track record in leading the architecture and design of enterprise-scale testing frameworks.
  • Experience with AI/ML-driven testing platforms and predictive analytics.
  • Proficiency in Selenium, TestNG, and API/load testing tools.
  • Experience with Jenkins in a CI/CD environment and the Scaled Agile Framework (SAFe).

Culture & Benefits

  • Innovative and fast-paced environment focused on cognitive automation.
  • Culture built on empathy, pragmatic decision-making, and continuous improvement.
  • Strong emphasis on mentoring, coaching, and raising the bar for the entire team.
  • Collaborative atmosphere focused on designing pragmatic, high-impact solutions.

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