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Senior Software Engineer (Storage Virtualization Team)

United Kingdom
Posted about 12 hours ago
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Job Title

Senior Software Engineer (Storage Virtualization Team) - United Kingdom

About the Role

Join a high-performance engineering team building distributed storage infrastructure for a next-generation AI cloud platform.

  • Design and develop fault-tolerant storage systems capable of delivering extremely low latency and massive throughput at hyperscale.
  • Work at the intersection of virtualization, operating systems, networking, and distributed systems.
  • Tackle challenging engineering problems involving performance-critical I/O paths, replication, consensus, and self-healing infrastructure.
  • Collaborate with experienced engineers in an international, fast-moving environment where technical excellence and innovation are highly valued.

This is an opportunity to make a direct impact on the infrastructure powering demanding AI and cloud workloads.

Accountabilities

  • Design, develop, and maintain distributed, fault-tolerant storage systems for large-scale cloud infrastructure.
  • Build and optimize high-performance block and filesystem storage solutions designed for demanding workloads.
  • Develop and improve virtualization components involving virtio-blk, virtio-fs, QEMU, vhost-user, and performance-critical I/O paths.
  • Work on high-throughput networking between virtual machines and storage systems using TCP and RoCEv2/RDMA.
  • Design and implement storage capabilities including replication, consensus, self-healing, and data migration.
  • Analyze and optimize system performance to support sub-millisecond latency, millions of IOPS, and extremely high throughput.
  • Diagnose and resolve complex issues across software, storage, virtualization, networking, and operating-system layers.
  • Write reliable, maintainable, and production-quality code with a strong focus on performance and fault tolerance.
  • Contribute to technical design discussions, architecture decisions, code reviews, testing, and continuous improvement.
  • Collaborate closely with other engineers and technical teams to deliver robust infrastructure at scale.
  • Participate in coding interviews and technical evaluations as part of the hiring process.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

  • 6+ years of professional software engineering experience, ideally working on complex backend, infrastructure, or distributed systems.
  • Strong professional proficiency in C++ and experience using it to build reliable, performance-sensitive software.
  • Solid understanding of algorithms and data structures.
  • Practical knowledge of operating system internals, particularly I/O, memory management, and scheduling.
  • Experience debugging complex software and systems issues across multiple technical layers.
  • Ability to design and implement reliable, maintainable, production-quality code.
  • Strong problem-solving and analytical skills, with an interest in performance optimization and technically challenging infrastructure problems.
  • Familiarity with distributed systems, storage, virtualization, networking, or cloud infrastructure is highly valuable.
  • Ability to work effectively in a collaborative, international engineering environment.
  • Strong written and spoken English communication skills.
  • Team-oriented mindset with a willingness to share knowledge, participate in technical discussions, and contribute to shared engineering goals.
  • Comfortable taking ownership of complex technical problems and driving them toward practical solutions.

Benefits

  • Competitive compensation aligned with the seniority and scope of the role.
  • Career growth: Opportunities to deepen your expertise in distributed systems, storage, virtualization, networking, and cloud infrastructure.
  • Learning opportunities: Work alongside experienced engineers on technically demanding and large-scale systems.
  • Technical ownership: Significant autonomy and responsibility in designing and improving critical infrastructure.
  • Flexible work environment: Remote-friendly working arrangements within the applicable location framework.
  • International environment: Collaborate with talented engineers and technical teams across multiple countries.
  • Innovation-focused culture: Work on challenging infrastructure problems supporting advanced AI and cloud workloads.
  • Meaningful impact: Contribute directly to highly scalable systems designed for demanding production environments.
  • Collaborative culture: Join a team that values engineering excellence, trust, ownership, and continuous improvement.
  • Future-focused technology: Gain hands-on experience with modern virtualization, high-performance networking, distributed storage, and AI infrastructure.

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How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

C++
Distributed Systems
Storage Virtualization
Operating System Internals
Networking
TCP
RoCEv2/RDMA
QEMU
Virtio-blk
Virtio-fs
Vhost-user
Fault-tolerant Systems
Performance Optimization
Data Structures
Algorithms
Cloud Infrastructure

Location

United Kingdom

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