About: 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:
•Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
•Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
•Maintain the technical vision for your area of responsibility.
•Collaborate with the Product Manager and Service Owner to shape product vision and plans.
•Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
•Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
•Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
•Deliver managed Layer 7 load balancers to reduce operational overhead for customers.
Requirements:
•8+ years of professional software engineering or management experience
•Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
•Multi-month technical projects
•Tech leading engineers
•Owning multi-month technical projects
Nice to have:
•Experience with team management
•Kubernetes administration
•Developing Kubernetes controllers
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
