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Site Reliability Engineer (SRE) - Early TalentNebius · Amsterdam, Netherlands
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Nebius

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Site Reliability Engineer (SRE) - Early Talent

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-09-07 Amsterdam, Netherlands Hybrid ICT
💰 Salary Not shared 📊 Market 3,000 EUR–4,500 EUR/mo

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Role & Responsibilities

  • ● You will assist in day-to-day SRE operations tasks.
  • ● You will execute tasks from the backlog.
  • ● You will work on small and well-defined SRE project from backlog.
  • ● You will create tests for their changes/project if applicable.
  • ● You will write technical documentation about their work.
  • ● You will track and update Jira tasks according to their progress.
  • ● You will actively study system fundamentals: Linux, including networking, cgroups, ebpf, etc.
  • ● You will learn internal tools, workflows and operational standards.
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  • ● You will learn container and platform fundamentals: Kubernetes, including core architecture and networking, Helm, Terraform.
  • ● You will learn configuration management and automation basics.

Requirements

Education

  • ● You must be familiar with Git.

Experience

  • ● You must have programming experience in any of Python, Go, C++, or Java.

Skills

  • ● You must demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software.
  • ● You must have a basic understanding of the Network, including ethernet, ip, tcp/udp, routing fundamentals.
  • ● You must have a basic understanding of containers, Kubernetes and Gitops approach.

Benefits

  • ● You will receive mentorship from experienced AI, ML, and cloud infrastructure professionals.
  • ● You will gain hands-on experience with real customer workloads.