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Systems Engineer (Enterprise)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Systems Engineer (Enterprise): Supporting the sales and deployment of high-performance data infrastructure for enterprise and AI environments with an accent on distributed storage architectures and file systems. Focus on designing technical architecture blueprints, conducting customer benchmarks, and bridging the gap between field requirements and product R&D.

Location: West Coast, United States

Company

hirify.global builds enterprise data management infrastructure for capturing, cataloging, refining, enriching, and protecting massive datasets used in real-time analytics and AI training and inference.

What you will do

  • Support customer evaluations, benchmarks, system configurations, and installations.
  • Work with R&D Engineering to define product requirements and usability, including product specification documents.
  • Develop sales strategies and own technical responsibilities within customer accounts.
  • Provide technical leadership on storage products, distributed storage architectures, file systems, and DAS, NAS, and SAN solutions.
  • Create repeatable architecture blueprints for customer-facing solutions.
  • Help develop system and field engineering teams and advise on building a Support organization.

Requirements

  • 5+ years of experience supporting enterprise storage sales to large IT organizations.
  • Understanding of unstructured data applications and next-generation analytics and web frameworks.
  • Experience preparing or delivering technical product and architecture presentations to customers and trainees.
  • Knowledge of virtualization, high-performance networking, and enterprise security.
  • Excellent verbal and written communication skills.
  • Positive energy, optimism, vision, and the ability to perform in an unstructured environment.

Culture & Benefits

  • Customer-first environment focused on intense innovation.
  • Opportunity to contribute to enterprise and AI infrastructure during a period of rapid company growth.
  • Collaboration with R&D, Sales, system engineers, field engineers, and Support teams.

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