2 дня назад
VP of Engineering, Storage Protocols (Storage)
323 000 - 418 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP of Engineering, Storage Protocols (Storage): Leading File, Block, Object, and StorageGRID protocol engineering across ONTAP and StorageGRID with an accent on performance, reliability, interoperability, and AI-scale workloads. Focus on shaping architectural roadmaps, resolving complex cross-organizational design and customer escalation challenges, and building a high-performing 350-engineer leadership organization.
Location: United States; remote-friendly, with meaningful time expected in San Jose, California
Salary: 323,000–418,000 USD annually, with comprehensive benefits and performance-based incentives.
Company
provides intelligent data infrastructure, unified storage, integrated data services, and cloud-embedded enterprise storage solutions.
What you will do
- Lead technical strategy and execution across ONTAP File, Block, and Object protocol teams and the StorageGRID engineering organization.
- Own architectural roadmaps for object storage, multiprotocol data access, and protocol integration across the portfolio.
- Guide storage performance, reliability, scalability, standards participation, and protocol compliance across enterprise and hyperscaler ecosystems.
- Lead major customer escalations involving protocol behavior at scale across engineering, support, and field teams.
- Shape organizational design and ownership boundaries within Platform Engineering.
- Build and retain a high-performing, multilayered engineering leadership team of approximately 350 engineers.
Requirements
- 15+ years of engineering leadership experience in storage, infrastructure, or platform software.
- 8+ years leading multiple layers of engineering management.
- Deep technical fluency in enterprise distributed systems, storage protocols, large-scale networking, or comparable infrastructure domains.
- Experience resolving ambiguous architectural and organizational design questions and leading large-scale customer escalations.
- Excellent executive communication and effective partnership with Product Management.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Nice to have
- Experience building storage or data infrastructure for AI/ML training, inference, or data pipelines.
- Experience restructuring or right-sizing engineering organizations based on evidence.
- A leadership style focused on developing others rather than relying on positional authority.
Culture & Benefits
- Hybrid working environment with in-office and/or in-person expectations.
- Health insurance, life insurance, retirement or pension plans, paid time off, and leave options, subject to regional variations.
- Performance-based incentives, employee stock purchase plan, and/or restricted stock units.
- Culture centered on initiative, impact, ownership, flexibility, and inclusion.
- Collaboration with teams delivering enterprise AI and multicloud data infrastructure.
Hiring process
- Applications are reviewed only when submitted through the company website.
- Some stages of the process may use AI tools to support application evaluation and candidate selection, with human decision-making retained.
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