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.
Responsibilities
•Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems
•Evolve our metrics/aggregation/alerting pipelines and improve signals quality
•Build maintenance workflows and automation that keep fleets healthy
•Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
•Collaborate with hardware, networking, and DC operations to improve reliability
Requirements
•5+ years of professional software engineering experience
•Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
•Strong Linux fundamentals
•Ability to write reliable code and dig into complex problems
•Working proficiency in English
•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
Nice to have
•Solid understanding of modern server architecture and its components
•Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
•Good knowledge of computer networks
•Experience designing, developing, and running high-load distributed systems
Conditions
•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
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
