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Описание вакансии
Текст:
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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