ailinuxnetworkingstoragehardwarebashgpucablingdata center infrastructurepower and cooling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$106к-130к/год
$120к$150кмедиана$200к
По похожим ролям (50) ~ $150к/год
На СНГ рынке: $3.6к/мес ($2.7к - $4.3к)
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Хорошая вакансия
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Чёткая зона ответственности за AI-инфраструктуру дата-центра в облачной продуктовой компании даёт ценный практический опыт, но работа на площадке, дежурства и 12-часовые смены заметно влияют на образ жизни.
Непростый график
Ниже рынка
Актуальные технологии
Чёткая зона ответственности
Рост в AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Center Engineer (AI Infrastructure): Building and scaling reliable data center infrastructure for a cloud and AI platform with an accent on GPU deployments, hardware troubleshooting, and operational standards. Focus on resolving complex infrastructure incidents, reviewing power, cooling, and cabling requirements, and leading site-wide projects while mentoring data center teams.
Location: Wenatchee, WA, United States; onsite role. May involve domestic travel up to 10%, overnight travel to other sites, on-call rotation, and 12-hour shifts including evenings, nights, weekends, and holidays.
Salary: $106,000–$130,000 per year, plus eligibility for an annual bonus plan and potential equity grant subject to plan terms and local eligibility.
Company
hirify.global builds scalable cloud and AI infrastructure designed to simplify software creation for builders.
What you will do
Own complex deployments of GPU and AI infrastructure, servers, networking, and storage hardware.
Troubleshoot complex and recurring hardware, network, GPU, and Linux OS issues as an escalation point.
Review data center events and incidents, identify root causes, and drive corrective actions to closure.
Assess data center spaces, cages, and suites against power, cooling, and cabling standards.
Write, review, and approve operational documentation, runbooks, procedures, and site standards.
Lead site-wide projects, track operational metrics, support resource planning, mentor technicians and engineers, and ensure consistent RMA, inventory, and asset-management processes.
Requirements
Bachelor’s degree or 4 years of equivalent work experience, plus 3 years of experience troubleshooting IT systems.
Experience deploying and troubleshooting GPU hardware at scale for AI workloads.
Strong understanding of infrastructure hardware deployment and troubleshooting across networking, hardware, and Linux OS.
Strong Linux operating-system knowledge and proficiency with Bash scripting.
Working knowledge of data center power and cooling, and strong understanding of cabling plans and best practices.
Strong problem-solving skills, ability to perform deep technical investigations, and comfort operating effectively through ambiguity.
Experience mentoring or training junior engineers and technicians.
Willingness to participate in an on-call rotation; ability to remain on feet all day and lift objects up to 50 lbs.
Culture & Benefits
Fast-paced, high-growth environment focused on cloud and AI innovation, ownership, collaboration, and professional development.
Reimbursement for relevant conferences, training, and education subject to company policy.
Benefits may include flexible time off, local team meetups, and mental health and well-being support; eligibility varies by location.
Eligible employees may receive annual bonuses, equity compensation, and—in participating countries—Employee Stock Purchase Program access, subject to applicable plans.
Equal-opportunity employer.
Hiring process
Applicants may apply to a maximum of 3 positions within any 180-day period.
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