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Job description
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.
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
Location : Amsterdam
Duration : 3-6 months
Start date : January 2027
Compensation : Paid
Eligibility : Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization : Permitted to work in the job’s location
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Your responsibilities will include
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
What we expect you to have
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 we offer
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
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
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
What's it like to work at Nebius:
Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.