Senior Software Engineer (Storage Virtualization Team)

Contract type
Ongoing
Work mode
Remote · Berlin
Experience
Senior · 6+ years

Job description

Senior Backend Engineer on the Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius' hyperscaler cloud, including high-performance block and filesystem storage.

At a glance

Employment
Full-time
Work mode
Remote · Berlin
Languages
English – fluent

What you'll do

  • Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
  • Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
  • Storage systems: replication, consensus, self-healing, and data migration

What we're looking for

  • 6+ years of professional software engineering experience
  • Strong knowledge of C++
  • Solid understanding of algorithms and data structures
  • Basic knowledge of operating system internals (I/O, memory, scheduling)
  • Ability to write reliable, maintainable code and debug complex systems
  • Team-oriented mindset and fluency in English

Your team

Storage Virtualization Team

Building a distributed, fault-tolerant storage system for Nebius' hyperscaler cloud

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

How to get hired

  1. 1Coding interviews

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, from large-scale GPU orchestration to inference optimization, owning the hard problems across compute, storage, networking and applied AI.

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)
  • 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