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2 часа назад

DevOps & Cloud Infrastructure Engineer (Azure)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

DevOps & Cloud Infrastructure Engineer (Azure): Designing and maintaining scalable, secure, and automated cloud infrastructure on Azure with an accent on CI/CD pipeline optimization and container orchestration. Focus on supporting AI-driven services and workloads across global data center organizations.

Location: Must be based in or able to work on-site in Haifa, Israel (Hybrid model available).

Company

hirify.global is a global leader in computing innovation, delivering Xeon-based solutions and custom x86 products for general-purpose compute, web services, HPC, and AI-accelerated systems.

What you will do

  • Design and maintain scalable, secure, and automated cloud infrastructure on Azure.
  • Build and optimize CI/CD pipelines and deployment automation.
  • Manage containerized environments using Kubernetes and Docker.
  • Develop automation scripts and tools using Python.
  • Collaborate with global teams to improve reliability, security, and operational efficiency.
  • Support infrastructure platforms enabling AI-driven services and workloads.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
  • Strong background in IT infrastructure, networking, and security.
  • Hands-on experience with Azure cloud services.
  • Solid experience with CI/CD tools and pipeline management.
  • Proficiency in Python and infrastructure automation.
  • English: Good communication skills required.

Nice to have

  • Experience with AI tools and technologies.
  • Strong Git and version control knowledge.
  • Experience with Kubernetes and Docker.

Culture & Benefits

  • Hybrid work model allowing time split between on-site and off-site.
  • Opportunity to work on global-scale infrastructure powering the AI era.
  • Collaboration with diverse, international engineering teams.
  • Focus on workload-driven leadership and innovation in the data center segment.

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