Senior Software Engineer (Storage Virtualization Team)

Posted 2 Days Ago
Be an Early Applicant
28 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.
Summary Generated by Built In

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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

Skills Required

  • 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
  • Authorized to work in the country of application (must provide proof of employment eligibility)
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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