Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The Role
Your responsibilities will include:
- Ensure fault-tolerance, scale, and uninterrupted operations for the service.
- Use cutting-edge cloud technology to solve a variety of infrastructure problems.
- Implement and improve CI/CD processes.
We expect you to have:
- Solid experience with programming languages (like Go, Python, or C++);
- Solid understanding of classic algorithms and data structures;
- Commercial experience with and deep understanding of Unix systems and network technology;
- Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
It will be an added bonus if you have:
- Desire to be involved in backend development;
- Experience designing, developing, and running high-load distributed systems;
- Commercial experience with a variety of cloud platforms.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Hybrid working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Top Skills
What We Do
Cloud platform specifically designed to train AI models
