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Engineer, Storage Services (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineer, Storage Services (AI): Designing, building, operating, and improving storage capabilities across the Nscale platform, including Block, File, Parallel, and Object services with an accent on delivering reliable, scalable, and high-performing storage services. Focus on solving complex technical problems and contributing to the evolution of core platform capabilities in a fast-moving environment.

Location: UK

Company

Nscale provides high-performance GPU cloud infrastructure for AI start-ups and enterprise customers, focusing on cost-effective AI development and scalable capacity.

What you will do

  • Build, operate, and improve Block, File, Parallel, and Object storage services.
  • Design and implement reliable, scalable, secure, and high-performing storage capabilities.
  • Integrate storage services with compute, networking, and platform tooling.
  • Monitor service health, performance, and capacity across production storage platforms.
  • Improve observability, alerting, automation, documentation, and operational readiness.
  • Troubleshoot incidents and performance issues, support root-cause analysis, and deliver long-term reliability improvements.

Requirements

  • Senior-level experience as a Storage, Infrastructure, Systems, or Platform Engineer.
  • Working knowledge of Block, File, Parallel, or Object storage technologies.
  • Experience supporting production infrastructure or platform services with a focus on reliability, performance, and operational excellence.
  • Solid understanding of Linux systems, networking fundamentals, and infrastructure operations.
  • Experience with automation, scripting, or infrastructure-as-code approaches.
  • Understanding of monitoring, observability, incident response, and structured troubleshooting.

Nice to have

  • Experience in cloud, AI, HPC, data-intensive, or performance-sensitive environments.
  • Interest in developing expertise in storage platforms, distributed systems, and large-scale infrastructure services.

Culture & Benefits

  • Collaborative, supportive, and innovative working environment.
  • Flexible workplace with autonomy over daily working arrangements.
  • Competitive compensation package including base salary, bonus, and equity.
  • Performance reviews every 12 months and a progression plan aligned with career ambitions.
  • Opportunities to lead cross-functional initiatives and contribute to AI infrastructure strategy.

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