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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Site Reliability Engineer (SRE) - Early Talent

Requirements:

  • Demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
  • Programming experience in any of Python, Go, C++ or Java
  • Basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals)
  • Familiarity with Git
  • Basic understanding of containers, Kubernetes and Gitops approach

What You'll Be Doing:

  • Operation:
    • Assist in day-to-day SRE operations tasks
  • Project work:
    • Execute tasks from the backlog
    • Together or instead: work on small and well-defined SRE project from the backlog
    • Create tests for their changes/project (if applicable)
    • Write technical documentation about their work
    • Track and update Jira tasks according to their progress
  • Learning and growth:
    • Actively study system fundamentals: Linux (networking, cgroups, ebpf, etc.)
    • Learn internal tools, workflows and operational standards
    • Learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform
    • Learn configuration management and automation basics

Perks and Benefits:

  • Mentorship from experienced AI, ML, and cloud infrastructure professionals
  • Hands-on experience with real customer workloads and production systems
  • Opportunities for professional growth within Nebius
  • Opportunity to be considered for a full-time role after the Early Talent Program
  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
AI Summary ✨
Nebius logo

Nebius

Amsterdam, Netherlands

Experience: Junior
Posted: September 7, 2026
Last seen: an hour ago
Git
Golang
Java
Kubernetes
Python
Terraform
sitereliability

Why we track Nebius

Nebius is the Amsterdam-headquartered, Nasdaq-listed AI cloud that spun out of Yandex. They build GPU clusters, their own server hardware, and a full cloud stack for AI training and inference, with engineering concentrated in Amsterdam and teams in London, Prague, Berlin, Finland, and Paris plus remote roles across Europe. Pay is strong: levels.fyi shows a €140K median in the Netherlands (€160K at the G17 level) and a £183K median in London.

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