Why work at NebiusNebius 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 workHeadquartered 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 800 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.
The Role
We are looking for a Senior Site Reliability Engineer (SRE) to join the Compute Node team at Nebius AI Cloud. The Compute Node team is responsible for creating and operating the cluster scheduling layers and compute nodes that schedule and manage virtual machines in the cloud across all regions. This role focuses on Linux systems engineering, virtualization and operational reliability. You will work close to the operating system and hypervisor, shaping how reliability and observability are embedded into the Compute platform.
Your responsibilities will include:
- 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
We expect you to have:
- 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
Nice to Have / Optional:
- 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
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
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!
Originally posted on Himalayas