Principal Engineer, Storage Services (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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 ’s wider platform architecture, and mentoring engineers to improve service reliability and technical standards.
Location: UK
Company
is the GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.
What you will do
- Provide technical leadership across the Storage Services group for Block, File, Parallel, and Object storage services.
- Lead the design of scalable, resilient, and high-performance storage solutions aligned with ’s wider platform architecture.
- Influence the roadmap by clarifying technical trade-offs, platform dependencies, and long-term architectural considerations.
- Partner with engineers across platform, infrastructure, and product teams to ensure storage services integrate effectively into the broader platform.
- Support the team in improving service reliability, observability, performance, supportability, and operational maturity.
- Mentor and support engineers within the Storage Services group, helping raise technical capability across the team.
Requirements
- Proven experience in a Principal Engineer, Staff Engineer, Lead Architect, or similar senior technical role within storage, cloud infrastructure, distributed systems, or platform engineering.
- Deep expertise across modern storage architectures, including Block, File, Parallel, and Object storage systems.
- Strong track record of leading technical direction in complex engineering environments without formal people management authority.
- Demonstrable experience designing and operating large-scale, production-grade storage or infrastructure services.
- Strong communication skills with the ability to explain complex technical concepts clearly and influence stakeholders across engineering and leadership teams.
Nice to have
- Experience in AI, HPC, data-intensive, or performance-sensitive environments would be highly advantageous.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Culture & Benefits
- Collaborative, supportive, and innovative environment where your contributions spark real impact.
- Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months.
- Dynamic progression plan tailored to your ambitions, leading critical cross-functional initiatives and shaping capital strategy.
- Human-First Flexibility: Flexible workplace trusts rs to deliver, giving you the autonomy to shape your day around life's moments.
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