网络基础设施可靠性工程师
Site Reliability Engineer in Network Infrastructure
Nebius简介：
Nebius正在引领全球AI经济的云基础设施新时代。我们正在构建一个全栈AI云平台，支持开发者和企业从数据和模型训练到生产部署，而无需承担构建大型内部AI/ML基础设施的成本和复杂性。
由工程师打造，为工程师服务。从大规模GPU编排到推理优化，我们在计算、存储、网络和应用AI领域都负责解决难题。
在纳斯达克上市（股票代码：NBIS），总部位于阿姆斯特丹，我们在欧洲、英国、北美和以色列设有研发中心，拥有全球业务布局。我们的团队超过1500人，其中包括数百名在硬件、软件和AI研发方面有深厚专业知识的工程师。
职位描述
我们正在寻找一名站点可靠性工程师，帮助构建和运行Nebius的核心部分——网络，这是其他所有内容依赖的基础设施。这是一个以工程为核心的SRE职位：你将设定明确的可靠性目标，构建工具和自动化流程来实现这些目标，并随着快速扩展使网络更安全地运行。
你的职责包括：
- 定义并负责网络服务和关键路径的可靠性目标（SLIs/SLOs、可用性目标、错误预算等）
- 推动整个网络的可靠性改进：不仅包括服务，还包括站点准备度、跨站点连接（DCI）和操作标准
- 负责你所负责区域的事件响应，领导调查/事后分析，并将故障转化为持久的解决方案（而非重复的救火）
- 构建和演进可观测性：可操作的指标/日志/追踪、告警以及在事件期间和之后更快的调试循环
- 设计更安全的变更流程：自动化、CI/CD、测试/预发布环境、渐进式发布、回滚和网络变更的可审计性
- 与网络工程师和平台团队紧密合作，将可操作性嵌入设计中，保持运维的实用性和高效性
我们期望你具备：
- 扎实的生产环境Linux基础，对复杂系统有结构化的调试方法
- 对网络基础知识和真实网络故障有深入理解（控制平面与数据平面、延迟/丢包、故障域等）
- 有实际操作高可用系统并持续改进的经验（不只是“保持灯亮”）
- 能够编写和维护软件/自动化工具（我们常用Go；Python也欢迎）
- 有现代基础设施相关经验
查看英文原文
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 Site Reliability Engineer 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)
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.