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Site Reliability Engineer (SRE) AI Infrastructure (Early Career)

External
nebius logoNebius · Amsterdam, Netherlands
Full-timeOn-site3w ago
DocumentationGitHelmJiraKubernetesLinux
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About the role

Location : Amsterdam Duration : 3 months Start date : June 2026 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. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400+ employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Your responsibilities will include Operation: assist, where possible in day-to-day SRE operations tasks in NetInfra deploy tested and approved changes following clear instructions Project work: execute small and well-defined 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 network and system fundamentals: Ethernet and ip networks, routing, Linux Kernel, eBPF, traffic control, ipvs, dpdk 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 or C++ basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals) familiarity with Git basic understanding of containers, Kubernetes and IAC (Infra As Code) approach

Benefits

Competitive salary and comprehensive benefits packageMentorship from experienced AI, ML, and cloud infrastructure professionalsHands-on experience with real customer workloads and production systemsOpportunities for professional growth within NebiusA dynamic and collaborative work environment that values initiative and innovationOpportunity to be considered for a full-time role after the Early Talent ProgramWe'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 compensationCareer growth and learning opportunitiesFlexibility and work-life balanceCollaborative and innovative cultureOpportunity to work on impactful AI projectsInternational environment and talented teamsWhat'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 AIEqual Opportunity Statement: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.

Additional Information

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.


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