вчера

Backend engineer

ориентир по рынку
вакансия зп не указана
в среднем 391 000 ₽
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ai-инструменты

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описание

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.

задачи

  • 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.

требования

  • 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.
  • Будет плюсом: Experience with Team management, Kubernetes administration, Developing Kubernetes controller

условия

  • 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

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