N

Nebius

Runs GPU clouds for AI training and deployment

Senior Site Reliability Engineer - Site Reliability Engineering, Compute Node Team

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Strong expertise in Linux, including deep understanding of user space and kernel space, kernel subsystems such as the scheduler, memory management, filesystems, cgroups and namespaces, and system boundaries and constraints across layers.
  • Hands-on experience with QEMU/KVM and understanding of VM lifecycle, performance characteristics and failure modes.
  • Practical experience with containers, namespaces and cgroups, and strong understanding of resource isolation and control.
  • Ability to reason about complex system failures and take a structured, hypothesis-driven approach to incident analysis.
  • 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.

Responsibilities

  • Ensure reliability, availability and performance of compute nodes running virtual machines.
  • 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, including 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.

Desired Qualifications

  • Experience with Kubernetes internals or node-level components.
  • Hands-on experience with low-level Linux debugging tools, such as perf, eBPF, ftrace, strace and 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 and InfiniBand.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

Recently Posted Jobs

Explore more opportunities at Nebius

See more jobs