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3 дня назад

Site Reliability Engineer (Hardware Infrastructure)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Site Reliability Engineer (Hardware Infrastructure): Ensuring fault-tolerance, scalability, and uninterrupted operations for data-center lifecycle systems with an accent on hardware monitoring, asset tracking, and production automation. Focus on implementing CI/CD processes and troubleshooting complex hardware, software, and networking issues within a high-load AI cloud environment.

Location: Remote (Europe)

Company

hirify.global is a full-stack AI cloud platform provider building infrastructure for the global AI economy, listed on Nasdaq and headquartered in Amsterdam.

What you will do

  • Ensure fault-tolerance, scale, and uninterrupted operations for infrastructure services.
  • Develop and support systems for data-center lifecycle management, including hardware monitoring and asset tracking.
  • Implement and improve CI/CD processes for infrastructure automation.
  • Troubleshoot complex system issues spanning hardware, software, and networking layers.
  • Optimize system performance for large-scale AI infrastructure.

Requirements

  • Proficiency in Linux systems with expertise in Python and Bash scripting.
  • Demonstrated ability to troubleshoot complex hardware, software, and networking problems.
  • Strong analytical and problem-solving skills.
  • Working proficiency in English.
  • Must be authorized to work in the country of application.

Nice to have

  • Experience in backend development.
  • Experience designing, developing, and running high-load distributed systems.

Culture & Benefits

  • Competitive compensation package.
  • Opportunities for career growth and continuous learning.
  • Focus on work-life balance and flexibility.
  • Collaborative, innovative, and international team environment.
  • Impactful work on cutting-edge AI infrastructure projects.

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