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 is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services.
Your responsibilities will include:
- Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems
- Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability
- Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy
- Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes
- Collaborate closely with hardware, networking, and data center operations teams to improve reliability
What we expect you to have:
- 5+ years of professional software engineering experience
- Strong production experience with Python and Go, or the ability to ramp up quickly
- Solid Linux fundamentals and comfort debugging live systems
- Ability to write reliable, maintainable code and dig into complex, ambiguous problems
- Experience building and operating production systems at scale
It will be an added bonus if you have:
- Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages)
- CCNA (Cisco Certified Network Associate) or equivalent networking experience
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.
Compensation
- We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses.
Join Nebius Today!
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 professional software engineering experience
- Strong production experience with Python and Go
- Solid Linux fundamentals and comfort debugging live systems
- Ability to write reliable, maintainable code
- Experience building and operating production systems at scale
What We Do
Cloud platform specifically designed to train AI models
