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2 дня назад

VP of Engineering, Storage Protocols (Storage)

323 000 - 418 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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