# Senior Site Reliability Engineer (SRE, Compute Node Team)

**Company**: Nebius
**Location**: Amsterdam
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4766627101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2091dc0f-0e1

## Description

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.

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

Requirements:

- Strong Linux expertise: deep understanding of Linux user space and kernel space, knowledge of kernel subsystems, and clear understanding of system boundaries and constraints

- Virtualization experience: hands-on experience with QEMU/KVM and understanding of VM lifecycle, performance characteristics, and failure modes

- Containerization knowledge: practical experience with containers, namespaces, and cgroups, and strong understanding of resource isolation and control

- Strong debugging skills: ability to reason about complex system failures and 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, and 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

- Familiarity with large-scale compute or bare-metal platforms

- Contributions to open-source infrastructure or system software

- Experience debugging hardware and driver-level issues

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

## Skills

### Required
- Linux
- QEMU/KVM
- containerization
- observability
- SRE

### Nice to have
- Kubernetes
- low-level Linux debugging tools
- large-scale compute
- open-source infrastructure

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4766627101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)