ailinuxnetworkinghardwarebashgpucablingdata center infrastructurepower and cooling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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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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Обязанности четко описаны и дают практическую ответственность за масштабную AI-инфраструктуру, но работа на площадке, дежурства и возможные 12-часовые смены в неудобное время делают условия требовательными.
Тяжёлый график
Ниже рынка
AI-инфраструктура
Широкая ответственность
Поддержка обучения
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Center Engineer (AI): Building and scaling reliable data center infrastructure for DigitalOcean’s cloud and AI platform with an accent on GPU deployments, hardware troubleshooting, and site reliability. Focus on resolving complex infrastructure incidents, standardizing operational procedures, and leading data center projects while mentoring technicians and engineers.
Location: Kansas City, MO; onsite role. May include domestic travel of up to 10%, overnight stays at other sites, on-call rotations, and 12-hour shifts during evenings, nights, weekends, or holidays.
Salary: $106,000–$130,000 per year, plus eligibility for an annual bonus plan and potential equity compensation.
Company
hirify.global builds scalable cloud and AI infrastructure for software developers and businesses.
What you will do
Own complex deployments of GPU and AI infrastructure, servers, networking, and storage hardware from start to finish.
Act as an escalation point for recurring hardware, network, GPU, and Linux OS issues.
Review data center incidents, identify root causes, and drive corrective actions through resolution.
Evaluate data center spaces, cages, and suites against power, cooling, and cabling standards.
Create, approve, and standardize operational documentation, runbooks, procedures, and metrics.
Lead site-wide projects, support hardware and staffing planning, mentor technicians and engineers, and ensure RMA, inventory, and asset processes are followed.
Requirements
Bachelor’s degree or 4 years of equivalent work experience, with at least 3 years troubleshooting IT systems.
Experience deploying and troubleshooting GPU hardware at scale for AI workloads.
Strong understanding of infrastructure hardware, networking, Linux operating systems, and hardware troubleshooting.
Proficiency with Bash scripting and knowledge of data center power, cooling, cabling plans, and best practices.
Strong problem-solving skills and ability to perform deep technical investigations in ambiguous situations.
Experience mentoring or training junior engineers and technicians.
Willingness to participate in an on-call rotation.
Ability to remain on your feet throughout the day and lift objects up to 50 lbs.
Culture & Benefits
Onsite work in Kansas City with domestic travel and non-standard shift assignments as required.
Flexible time off, local team meetups, and mental health and well-being support may be available depending on location.
Reimbursement for relevant conferences, training, and education, subject to company policy.
Eligible employees may receive annual bonuses, equity compensation, and, in participating countries, access to an Employee Stock Purchase Program.
Maximum of 3 applications within any 180-day period.
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