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6 дней назад

Site Reliability Engineer (SRE) - Early Talent (AI Cloud)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Site Reliability Engineer (SRE) - Early Talent (AI Cloud) (Linux/Kubernetes/Terraform): Supporting day-to-day SRE operations and executing small infrastructure projects for an AI cloud platform with an accent on Linux, networking, containers, and automation. Focus on creating tests and technical documentation, tracking operational work, and learning Kubernetes, Helm, Terraform, and configuration management.

Location: Amsterdam, Netherlands. Duration: 3–6 months. Start date: January 2027. Applicants must be authorized to work in the Netherlands and provide proof of work eligibility.

Company

Nebius builds a full-stack AI cloud platform covering data and model training through production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

  • Assist with day-to-day site reliability engineering operations.
  • Execute tasks from the SRE backlog and work on small, well-defined infrastructure projects.
  • Create tests for changes and projects where applicable.
  • Write technical documentation and track progress in Jira.
  • Learn internal tools, operational workflows, and platform standards.

Requirements

  • Current university student in Computer Science or a related field, recent graduate, or early-career specialist.
  • Strong interest in and foundational knowledge of cloud providers, operations, networking, hardware, and software.
  • Programming experience in Python, Go, C++, or Java.
  • Basic understanding of Ethernet, IP, TCP/UDP, and routing fundamentals.
  • Familiarity with Git and basic understanding of containers, Kubernetes, and GitOps.
  • Willingness to study Linux fundamentals, including networking, cgroups, and eBPF, as well as configuration management and automation.

Culture & Benefits

  • Mentorship from experienced AI, ML, and cloud infrastructure professionals.
  • Hands-on experience with real customer workloads and production systems.
  • Career growth and learning opportunities in an international environment.
  • Competitive compensation, flexibility, and ownership.
  • Opportunity to be considered for a full-time role after the Early Talent Program.
  • Opportunity to work on impactful AI projects with collaborative teams.

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