Site Reliability Engineer (SRE) - Early Talent
Nebius Group
Salary undisclosed
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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
- 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.
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
About this role
Nebius is hiring an early-career Site Reliability Engineer for a 3–6 month paid program starting January 2027 in Amsterdam. This role is designed for current computer science students, recent graduates, or early-career professionals who want hands-on exposure to cloud infrastructure operations at a Nasdaq-listed company building AI cloud platforms. You'll split your time between supporting day-to-day SRE operations, executing defined project work from the backlog (including writing tests and documentation), and systematically learning core infrastructure fundamentals—Linux internals, Kubernetes, Terraform, and container orchestration.
The role expects you to arrive with programming experience in Python, Go, C++, or Java; basic networking knowledge; Git familiarity; and foundational understanding of containers and Kubernetes. You'll work alongside experienced engineers in a fast-moving environment handling real customer workloads and production systems. Nebius explicitly offers mentorship, professional growth opportunities, and the possibility of transitioning into a full-time position after the program concludes.
This is a structured entry point into SRE if you're serious about cloud infrastructure and want to learn from practitioners working on large-scale AI infrastructure problems. The fixed duration and clear learning objectives make it suitable for someone ready to move beyond coursework into production systems.
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Pay for this role
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