Senior Backend Engineer, Storage Virtualization - AI Cloud

Nebius Group; Amsterdam; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius is seeking 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 delivering sub-millisecond latency, millions of IOPS and terabytes per second throughput.

Focus areas include virtualization, networking and data migration with a team-oriented culture and strong emphasis on reliability, performance and impact on AI workloads.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C++

Algorithms & data structures

OS internals

Reliable code

English fluency

Job description

Nebius is seeking 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 delivering sub-millisecond latency, millions of IOPS and terabytes per second throughput.

Focus areas include virtualization, networking and data migration with a team-oriented culture and strong emphasis on reliability, performance and impact on AI workloads.