Site Reliability Engineer in Hardware Infrastructure
Job description
Infrastructure/automation engineering role on Nebius's Hardware Automation team, building internal platforms and tooling for data center infrastructure operations. The team owns the full stack from requirements gathering through design, build, rollout and reliability.
At a glance
- Work mode
- Remote
- Languages
- English – working proficiency
What you'll do
- Ensure fault-tolerance, scale and uninterrupted operations for our services
- Use cutting-edge technology to solve a variety of infrastructure problems
- Implement and improve CI/CD processes
What we're looking for
- Proficiency in Linux systems, with expertise in Python and Bash scripting for automation
- Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems
- Strong analytical and problem-solving skills, with a focus on optimizing system performance
- Working proficiency in English
Nice to have
- Desire to be involved in backend development
- Experience designing, developing and running high-load distributed systems
Your team
Hardware Automation team
Builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale; a product engineering team embedded within hardware infrastructure that owns the full stack from requirements gathering through design, build, rollout and ongoing reliability.
Benefits
- 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
Apply
About Nebius
Leading a new era in cloud infrastructure for the global AI economy
Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Built by engineers, for engineers, it owns hard problems across compute, storage, networking and applied AI, from large-scale GPU orchestration to inference optimization.
Mission
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.
Key facts
- 1,500+
- Amsterdam
- AI cloud infrastructure
- Listed on Nasdaq (NBIS)
- Headquartered in Amsterdam
- Global footprint with R&D hubs across Europe, the UK, North America and Israel
- Team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D
What they value
- Fast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI