Nebius Logo

Nebius

Staff Network Site Reliability Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
180K-224K Annually
Senior level
Remote
Hiring Remotely in United States
180K-224K Annually
Senior level
Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.
The summary above was generated by AI

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’re looking for a Network Site Reliability Engineer (NetSRE) to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly.

Your responsibilities will include:

  • Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense)
  • Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards
  • Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting)
  • Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents
  • Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes
  • Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast

We expect you to have:

  • Strong production Linux fundamentals and a structured approach to debugging complex systems
  • Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.)
  • Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”)
  • Ability to write and maintain software/automation (Go is common for us; Python is also welcome)
  • Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows

It will be an added bonus if you have:

  • Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems
  • Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals)
  • Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection)
  • Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale)

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range
$179,500$224,300 USD

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.

Similar Jobs

13 Minutes Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead enterprise AI transformation and architecture engagements, advising C-suite on AI strategy, designing end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), defining governance and responsible AI frameworks, and driving adoption, enablement, and practice development across ServiceNow implementations.
Top Skills: Agent-To-Agent (A2A)Agentic WorkflowsAi AgentsAi Control TowerApp EngineCsmFsmGenerative Ai Skill KitHrsdItsmKnowledge GraphsModel Context Protocol (Mcp)Now AssistRdfRetrieval-Augmented Generation (Rag)ServicenowSparql
13 Minutes Ago
Remote or Hybrid
255K-445K Annually
Expert/Leader
255K-445K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and set technical direction for a cloud-native platform across multiple teams, solving multi-cluster, multi-cloud, control-plane, workload isolation, identity, and reliability problems. Drive architecture decisions, build critical control-plane components, mentor senior engineers, and influence hyperscaler strategy and platform standards at scale.
Top Skills: AksAWSAzureCni (Container Network Interface)CrossplaneEksGCPGitopsGkeGoInfrastructure-As-CodeKata ContainersKubernetesKubernetes OperatorsMetricsOci BundlingService MeshSlosSpiffeSpireTracing
13 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and maintain multicloud infrastructure and CI/CD for CPQ microservices. Develop and test Python applications, deploy containers on Docker/Kubernetes, manage GCP/Azure/AWS environments, integrate AI/ML microservices, and ensure security, monitoring, and operational reliability. Mentor engineers and provide production support for SaaS CPQ solutions.
Top Skills: Ai/MlAWSAzure Government Community Cloud (Gcc)DockerGitGithub ActionsGoogle Cloud Platform (Gcp)KubernetesAzurePostgresPython

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account