Nebius
Senior Backend Developer (Token Factory)
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 9 days ago · Added 2 days ago
First listed 9 days ago and still open.
Salary
Not stated
Location
Europe
Timezone
GMT
Contract
Full-time
Experience
Senior
Category
Software
This employer didn't state pay. Jobs like this usually pay around $180k–$230k a year, a typical range taken from 596 senior-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Prague, Czech Republic; Remote - Europe, Canada, Israel, Remote, Remote - Europe, United Kingdom"
- Job description states: "authorized to work in the country in which they apply an"
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
- ·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.
- ·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.
Benefits
- ·Competitive compensation
- ·Career growth and learning opportunities
- ·Flexibility and ownership
- ·Collaborative and innovative culture
- ·Opportunity to work on impactful AI projects
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Nebius, mentioning your remote working experience and working hours (GMT).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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