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3 дня назад

Senior QA Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior QA Engineer (AI): Ensuring the quality, reliability, and functionality of complex software products across the development lifecycle with an accent on test strategy, automation, and AI-assisted quality engineering. Focus on designing manual and automated tests, integrating them into CI pipelines, troubleshooting distributed and containerized environments, and performing root-cause analysis.

Location: Galway, Ireland; hybrid, with an average requirement to work 2 days per week from an HPE office.

Company

hirify.global is a global edge-to-cloud company developing technologies that connect, protect, analyze, and process data and applications.

What you will do

  • Own QA activities for assigned features from requirements and design through implementation and release.
  • Review requirements and technical designs, identify risks and edge cases, and define test strategies, plans, and test cases.
  • Perform functional, integration, regression, negative, and end-to-end manual testing.
  • Design, develop, maintain, and integrate automated tests into CI pipelines.
  • Investigate test failures and product defects, perform root-cause analysis, and collaborate with developers on resolution.
  • Analyze logs, test results, system behavior, and configurations across complex cloud, virtualization, distributed-system, and containerized environments; use AI-based tools to improve QA efficiency.

Requirements

  • Bachelor's or master's degree in computer science, engineering, information systems, or a closely related quantitative discipline.
  • Typically 5+ years of experience.
  • Experience with functional, integration, regression, and end-to-end testing.
  • Experience with test automation frameworks and infrastructure, including writing and executing test plans, debugging, and testing scripts and tools.
  • Strong programming skills in Python, Java, Golang, or JavaScript.
  • AI-assisted testing and software quality engineering experience.
  • Excellent written and verbal communication skills, including the ability to communicate product architectures and design proposals at senior management levels.

Nice to have

  • Experience with cloud environments, including Azure, AWS, or Google Cloud.
  • Experience with virtualization technologies, including VMware.
  • Experience with containers and Kubernetes.
  • Experience with REST APIs.
  • Experience with storage and networking.

Culture & Benefits

  • Hybrid work with an average of two office days per week.
  • Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
  • Personal and professional development programs supporting career growth and specialist or cross-functional development.
  • Inclusive and accessible workplace committed to equal opportunity and supporting reasonable accommodations.
  • Flexibility to manage work and personal needs.

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