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Principal Engineer, Storage Services (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
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
Principal Engineer, Storage Services (AI): Providing technical leadership across the storage services group, shaping the architecture and engineering direction for Block, File, Parallel, and Object storage. Focus on designing scalable, resilient, and high-performing storage solutions aligned with Nscale’s wider platform architecture, and mentoring engineers to improve service reliability and technical standards.

Location: UK

Company

Nscale provides GPU cloud infrastructure for AI startups and enterprise customers, focusing on high-performance, cost-effective, and environmentally responsible AI capabilities.

What you will do

  • Provide technical leadership across block, file, parallel, and object storage services.
  • Design scalable, resilient, and high-performance storage solutions aligned with the broader platform architecture.
  • Influence technical strategy, roadmaps, priorities, and long-term architectural decisions.
  • Partner with platform, infrastructure, and product teams to integrate storage services across the platform.
  • Lead technical investigations, proofs of concept, design reviews, and major incident root-cause analysis.
  • Mentor engineers and raise technical standards, reliability, observability, performance, and operational maturity.

Requirements

  • Senior technical experience as a Staff Engineer, Principal Engineer, Lead Architect, or in a similar role within storage, cloud infrastructure, distributed systems, or platform engineering.
  • Deep expertise in block, file, parallel, and object storage architectures.
  • Experience designing and operating large-scale, production-grade storage or infrastructure services.
  • Strong understanding of distributed systems, including performance, availability, consistency, fault tolerance, and scalability.
  • Experience setting technical direction, mentoring engineers, and influencing teams without formal people-management authority.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

  • Experience in AI, HPC, data-intensive, or performance-sensitive environments.

Culture & Benefits

  • Collaborative, supportive, and innovation-focused working environment.
  • Flexible workplace with autonomy over how the workday is structured.
  • Progression plan supporting leadership of critical cross-functional initiatives.
  • Competitive compensation package including base salary, bonus, and equity.
  • Performance reviews every 12 months.
  • Inclusive environment with accommodations available for individual needs.

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