• Companies
  • News
By technology
  • Python6.2k
  • AWS4.7k
  • Docker3.6k
  • Kubernetes3.1k
  • PostgreSQL2.6k
  • C++1.8k
  • Java1.7k
By category
  • Backend Developer9.5k
  • DevOps Engineer2.4k
  • Data Engineer2.2k
  • Machine Learning Engineer2.1k
  • Embedded Engineer1.8k
  • Full Stack Developer1.5k
  • Mobile Developer626
Work mode
  • On-site15.2k
  • Remote6k
  • Hybrid2k
Job type
  • Full-time22.4k
  • Part-time389
  • Contract339
  • Freelance122
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
9,815 matches
Most relevantNewestHighest base
Nebius

Senior Site Reliability Engineer (SRE, Compute Node Team)

2 months ago
Nebius · Amsterdam, NH
HybridFull-time
Nebius

Senior Site Reliability Engineer (SRE)

2 months ago
Nebius · Amsterdam, NH
HybridFull-time
Nebius

Senior Site Reliability Engineer (Agentic Search)

2 months ago
Nebius · New York, NY
On-siteFull-time
Nebius

Senior Site Reliability Engineer (DevTools)

2 months ago
Nebius · Amsterdam, NH
HybridFull-time
Nebius

Senior Network Engineer

2 months ago
Nebius · United States
On-siteFull-time
Nebius

Senior ML Engineer (AI Research)

2 months ago
Nebius · Amsterdam, NH
HybridFull-time
Nebius

Senior Machine Learning Engineer, LLM Inference Optimization

2 months ago
Nebius · Palo Alto, CA
On-siteFull-time
Nebius

Senior Hypervisor Engineer

2 months ago
Nebius · Amsterdam, NH
HybridFull-time
Nebius

Senior Hypervisor Engineer

2 months ago
Nebius · Prague, CZ
HybridFull-time
Nebius

Senior AI Infrastructure Systems Engineer (R&D / GPU / AI)

2 months ago
Nebius · United States
On-siteFull-time
Nebius

Senior Embedded Software Engineer

2 months ago
Nebius · Remote - United States
RemoteFull-timeC · C++
Nebius

Senior Data Center Construction Project Manager

2 months ago
Nebius · Remote - United States
RemoteFull-time
Nebius

Senior Applied Scientist, Efficient LLM Inference & Model Optimization

2 months ago
Nebius · Palo Alto, CA
On-siteFull-time
Nebius

Senior Applied AI Solutions Engineer

2 months ago
Nebius · Amsterdam, NL
HybridFull-time
Nebius

Project Development Manager- Data Centers, EMEA

2 months ago
Nebius · Remote - Europe
RemoteFull-time
Nebius

Product Manager - Security

2 months ago
Nebius · Amsterdam, NL
HybridFull-time
Nebius

Field Technical Lead – Data Center Deployments

2 months ago
Nebius · Remote - Europe
RemoteFull-time
Nebius

Data Center Technician Manager

2 months ago
Nebius · Philadelphia, PA
On-siteFull-time
Nebius

Manager, Data Center Facilities

2 months ago
Nebius · Philadelphia, PA
On-siteFull-time
Nebius

Data Center IT Manager

2 months ago
Nebius · Kansas City, MO
On-siteFull-time
  • Previous
  • 1
  • More pages
  • 400
  • 401
  • 402
  • More pages
  • 491
  • Next
Nebius

Senior Site Reliability Engineer (SRE, Compute Node Team)

Nebius · 🇺🇸 Amsterdam, NH · posted 2 months ago
ApplyFull posting

Extracted from the posting

Base
Not stated
Remote
Hybrid
About Nebius →

The full posting

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 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

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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.