8 дней назад
Senior Engineer, Storage Services (AI Infrastructure)
120 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, Storage Services (AI Infrastructure): Defining and evolving scalable, resilient, and high-performance Block, File, Parallel, and Object storage services for an AI cloud platform with an accent on distributed systems, architecture, reliability, and performance. Focus on leading technical direction, identifying scalability risks, improving observability and operational maturity, and guiding engineers through complex storage challenges.
Location: Houston, New York, San Francisco, or Seattle, United States
Base salary: $120,000–$190,000 USD per year, plus potential bonus, equity, and commission.
Company
Nscale provides GPU cloud infrastructure for AI startups and enterprise customers, focusing on high-performance, cost-effective, and environmentally responsible AI capacity.
What you will do
- Provide technical leadership across Block, File, Parallel, and Object storage services.
- Lead the design of scalable, resilient, and high-performance storage architecture.
- Translate storage strategy into technical plans, priorities, and roadmap decisions.
- Partner with platform, infrastructure, and product teams to integrate storage services across the Nscale platform.
- Lead technical investigations, proofs of concept, design work, incident resolution, and root cause analysis.
- Mentor engineers and establish standards for reliability, observability, performance, supportability, and maintainability.
Requirements
- Senior technical experience in 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 principles, including performance, availability, consistency, fault tolerance, and scalability.
- Experience influencing technical direction, mentoring engineers, and raising engineering standards 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 innovative work environment.
- Flexible workplace with autonomy over the working day.
- Progression opportunities through leadership of critical cross-functional initiatives.
- Competitive compensation with performance reviews every 12 months.
- Potential medical, dental, vision, flexible paid time off, parental leave, and retirement benefits.
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