Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
TensorWave
8 дней назад
Staff Infrastructure Engineer (Kubernetes)
2 дня назад
Infrastructure Engineer (AI)
180 000 - 250 000$
4 дня назад
Senior Software Engineer, Deploy at Scale (AI)
2 дня назад
Senior Engineer - Platform (Kubernetes)
2 дня назад
Platform Engineer (Python/AWS)
99 000 - 147 000GBP
2 дня назад