Role overview

Qualifications

Strong Linux expertise: deep understanding of Linux user space and kernel space, including kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces) and cross-layer system boundaries.
Virtualization experience: hands-on work with QEMU/KVM, VM lifecycle, performance characteristics and failure modes.
Containerization and resource isolation: practical experience with containers, namespaces and cgroups, and strong understanding of resource isolation and control.
SRE and observability mindset: experience building and operating observability stacks (metrics, logs, traces, alerts) and leading incident response, root-cause analysis and postmortems.

Responsibilities

Ensure reliability, availability and performance of compute nodes running VMs.
Analyze and debug Linux systems across user space and kernel space, including kernel subsystems and trade-offs.
Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling.
Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements.

Key facts

Remote from: Europe
Full time
Senior (5-10 years)
Site Reliability Engineer (SRE)
English

Other skills

Scheduling
Collaboration
Communication
Analytical Thinking
Innovation
Problem Solving

About the company

Nebius Group

Cloud Computing & Infrastructure (IaaS/PaaS)

Nebius Group is building one of the largest commercially available AI infrastructure businesses, based in Europe. Our core business is an AI-centric cloud platform built for intensive AI workloads. We are building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our headquarters and main R&D presence is in Amsterdam, with additional R&D and commercial hubs in Europe, North America and Israel. Our businesses operate and serve customers on four continents. Our name reflects our mission and values as a company. Combining nebula, the Latin word for cloud, with a reference to the endless Möbius strip, the name Nebius embodies our belief in the endless possibilities offered by cloud technologies. In addition to our core AI infrastructure business, we are developing three other businesses that operate under their own distinctive individual brands: • Toloka AI – a data partner for all stages of AI development from training to evaluation; • TripleTen – a leading edtech player in the US and certain other markets, re-skilling people for careers in tech; • Avride – one of the most experienced teams developing autonomous driving technology for self-driving cars and delivery robots. The group is led by Arkady Volozh, the entrepreneur and visionary co-founder of Yandex.

Company details

IndustryCloud Computing & Infrastructure (IaaS/PaaS)

Company size1001 - 5000

Links

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Job description

Why work at Nebius
Nebius 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 work
Headquartered 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 1400 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 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.

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!