About the Job
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.
Key Responsibilities
Ensure reliability, availability and performance of compute nodes running VMs
Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer
Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling
Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies
Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs
Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements
Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability
Strong Linux expertise:
deep understanding of Linux user space and kernel space
knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces)
clear understanding of system boundaries and constraints at different layers
Virtualization experience:
hands-on experience with QEMU/KVM
understanding of VM lifecycle, performance characteristics and failure modes
Containerization knowledge:
practical experience with containers, namespaces and cgroups
strong understanding of resource isolation and control
Strong debugging skills:
ability to reason about complex system failures
structured, hypothesis-driven approach to incident analysis
SRE mindset:
clear understanding of the SRE role in system design and operations
experience building and operating observability stacks, not just consuming them
ability to turn system behavior into actionable reliability signals
Required Skills & Abilities
Experience with Kubernetes internals or node-level components
Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps)
Familiarity with large-scale compute or bare-metal platforms
Contributions to open-source infrastructure or system software
Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand
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
