Senior Site Reliability Engineer (SRE, Compute Node Team)

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.

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 building and operating the cluster scheduler and node-level services that run and manage virtual machines across all cloud 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.

Y our 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