高级站点可靠性工程师 — Token Factory（推理平台）
Senior Site Reliability Engineer — Token Factory (Inference Platform)
我们正在寻找一位资深工程师加入Token Factory团队，负责构建和维护一个大规模的推理平台。该平台旨在让各种基础模型——文本、视觉、音频以及新兴的多模态架构——能够快速、可靠且轻松地进行大规模部署。
在本职位中，你将负责整个推理堆栈的可靠性、性能和可观测性。你的日常工作包括设计和优化遥测管道——指标、日志和追踪，将数百TB的信号转化为清晰、可操作的洞察。随后，你可能会调整Kubernetes自动扩展器以提高GPU效率，编写Terraform模块以在每个新集群中嵌入弹性能力，或者强化我们的请求路由和重试逻辑，使短暂的故障对用户完全无感。当发生事件时，你会依靠自己参与创建的自动化工具和运行手册，在几分钟内检测、隔离并修复问题，然后推动事后分析文化以防止类似问题再次发生。所有这些努力都指向一个目标：在满足严格的成本和可靠性目标的同时，平稳地扩展平台。
成功的候选人需要对Kubernetes、Prometheus、Grafana、Terraform以及基础设施即代码的实践有深入的理解。你应能熟练使用Python或Bash进行脚本编写，了解高吞吐API的警报设计和SLO，且有足够的生产环境经验，了解分布式后端在现实世界中的失败方式。有管理GPU密集型工作负载的经验者优先。
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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.
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.
In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.
Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.
If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.
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.