Site Reliability Engineer (SRE) - Early Talent
About this role
About Nebius:
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.
Responsibilities
- 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 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
- demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
Requirements
- 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
- 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
About Nebius Group
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. Summary: