Staff Software Engineer (Hardware Infrastructure)

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.

Nebius is looking for a Staff Software Engineer in Hardware Infrastructure team. 
Hardware Infrastructure team designs, develops and supports systems involved in the data center lifecycle.
Design and develop services that automate work with a large server fleet
5+ years of professional software engineering experience
Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages
Ability to write reliable code and dig into complex problems
Strong interest in being engaged in DevOps processes

Solid understanding of modern server architecture and its components
Good knowledge of computer networks
Experience designing, developing and running high-load distributed syste
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)
Manage large-scale projects involving multiple stakeholders
Break down complex tasks and guide both their own work and that of more junior colleagues
Be experts in specific technologies and write high-quality code that can serve as a reference
Assess task priority and focus on high-impact work, avoiding low-value efforts
Have strong architectural thinking and contribute to system design
Be involved in hiring and actively contribute to interviews
Be willing to share knowledge and mentor others