高级后端开发工程师(代币工厂)
Senior Backend Developer (Token Factory)
关于Nebius:
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,从数据和模型训练到生产部署,为开发者和企业提供支持,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,面向工程师。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(NBIS),总部位于阿姆斯特丹,我们拥有遍布欧洲、英国、北美和以色列的全球研发中心。我们的团队超过1500人,包括数百名在硬件、软件和AI研发方面具有深厚专业知识的工程师。
关于产品
Token Factory专注于构建下一代平台,使企业能够无缝地将AI集成到其产品和工作流程中。我们的愿景是创建一个强大、开放且可扩展的替代方案,用于部署和管理AI系统,使先进的AI基础设施对快速增长的初创公司和大型企业更加可及。
我们与各种客户合作,从AI优先的公司到传统科技组织,帮助他们可靠地大规模运行AI工作负载。我们的目标是成为高性能AI推理的领先平台,提供可预测的延迟、强大的可靠性,并能够扩展以满足苛刻的生产需求。
客户反馈在我们的构建过程中起着核心作用——我们的开发过程高度迭代,并与实际的用例紧密对齐。
关于团队
我们是一支快速成长的分布式团队,主要成员位于欧洲。团队汇聚了强大的后端、前端、产品和业务专业知识,共同专注于构建有影响力、可扩展的系统。
虽然我们最初并未深入专注于AI/ML,但团队迅速成长为该领域——展现出强大的责任感、好奇心以及解决复杂技术挑战的能力。
技术与环境
我们的工作深度融入更广泛的云和基础设施生态系统。我们主要使用Go和Python来构建和扩展后端系统,并与专注于基础设施、可观测性、计费和AI研究等领域的团队密切合作。
该平台正从轻量级集成层不断发展为更全面的解决方案。
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.
About the Product
Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises.
We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs.
Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases.
About the Team
We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems.
While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges.
Technology & Environment
Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research.
The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability.
What We’re Working On
- Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability
- Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations
- Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements
- Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features
We expect you to have:
- 5+ years of professional software development experience.
- Strong software engineering skills (we mostly use Python and Go).
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- Experience with developing web services.
- A commitment to maintaining extreme rigor in all job-related activities.
Nice to have:
- Previous experience working with language models or other similar NLP technologies.
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess.
Why It’s Interesting
This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments.
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.