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
Nebius operates large-scale, mission-critical infrastructure. As a Senior/Staff Backend Software Engineer, you’ll design, build, and operate backend services that are reliable, scalable, and performant.
Your responsibilities will include:
- Design and implement distributed backend systems
- Own services end-to-end: architecture, development, testing, deployment, and production support
- Work closely with infrastructure, SRE, and GTM teams to deliver robust solutions
- Improve system performance, reliability, and observability
- Participate in technical design discussions and mentor other engineers
- Make pragmatic trade-offs between speed, quality, and long-term maintainability
- Contribute to architectural decisions that directly impact system scalability, cost efficiency, and long-term platform evolution
What we expect you to have:
- 5+ years of experience building backend systems in production
- Strong proficiency in Python (Go is a strong plus)
- Experience with distributed systems and high-throughput services
- Solid understanding of data structures, algorithms, and system design
- Hands-on experience with databases (SQL, MongoDB, PostgreSQL, NoSQL)
- Experience working in Linux environments
- Ability to debug complex production issues
- A track record of owning systems in production and making sound technical decisions under real-world constraints
It will be an added bonus if you have:
- Experience with cloud platforms or infrastructure-level systems
- Knowledge of Kubernetes, containers, or service meshes
- Background in performance optimization or low-latency systems
- Familiarity with observability tools (metrics, logging, tracing)
Key employee benefits:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: up to $85/month for mobile and internet.
- Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Join Nebius Today!
Compensation
We offer competitive compensation packages based on experience.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- 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.
Skills Required
- 5+ years of experience building backend systems in production
- Strong proficiency in Python (Go is a strong plus)
- Experience with distributed systems and high-throughput services
- Solid understanding of data structures, algorithms, and system design
- Hands-on experience with databases (SQL, MongoDB, PostgreSQL, NoSQL)
- Experience working in Linux environments
- Ability to debug complex production issues
- A track record of owning systems in production and making sound technical decisions
What We Do
Cloud platform specifically designed to train AI models
