Senior Engineer, Storage Services (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Engineer, Storage Services (AI): Leading the architecture and engineering direction for high-performance storage solutions with an accent on block, file, parallel, and object storage systems. Focus on designing scalable, resilient infrastructure to support large-scale AI workloads and ensuring seamless integration across the platform.
Location: Must be based in the US
Salary: $150,000 - $300,000 USD
Company
is a GPU cloud provider engineered specifically for AI, delivering high-performance infrastructure for AI start-ups and large enterprises.
What you will do
- Provide technical leadership across the storage services group for block, file, parallel, and object storage.
- Lead the design of scalable, resilient, and high-performance storage solutions aligned with platform architecture.
- Influence the engineering roadmap by identifying technical risks, scalability constraints, and operational weaknesses.
- Partner with platform, infrastructure, and product teams to ensure effective storage integration.
- Mentor engineers and establish technical standards to improve service reliability, observability, and performance.
- Conduct technical investigations and proof-of-concepts for new storage capabilities and platform enhancements.
Requirements
- Must be based in the US
- Proven experience in a senior technical role within storage, cloud infrastructure, or distributed systems.
- Deep expertise in modern storage architectures including block, file, parallel, and object storage.
- Strong track record of leading technical direction in complex environments without formal people management.
- Deep understanding of distributed systems principles such as performance, availability, consistency, and scalability.
- Hands-on experience designing and operating large-scale, production-grade infrastructure services.
- Strong systems thinking with the ability to evaluate trade-offs across architecture, operations, and cost.
Nice to have
- Experience in AI, HPC, data-intensive, or performance-sensitive environments.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Culture & Benefits
- Collaborative and innovative environment focused on AI infrastructure.
- Highly competitive compensation package including base salary, bonus, and equity.
- Human-first flexibility with autonomy to shape your workday.
- Comprehensive benefits package including medical, dental, vision, and retirement plan participation.
- Dynamic progression plan tailored to individual ambitions.
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