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Nebius
Nebius

Senior Software Engineer (Storage Virtualization Team)

engineeringfull-timeGermany; Netherlands; Prague, Czech Republic; Remote - Europe; United Kingdom
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role

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.

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.

The role

We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud. You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.

What You’ll Work On:

  • 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 Expect:

  • 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

We conduct coding interviews as part of the process.

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and work-life balance
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
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