Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$144к-273к/год
$180к$220кмедиана$240к
По похожим ролям (50) ~ $220к/год
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Чёткая ответственность за надёжность AI- и GPU-платформы даёт сильную техническую специализацию, но работа с клиентами в аутсорсинговой компании может означать разные среды и приоритеты.
Актуальные технологии
Понятная зона ответственности
?Работа на стороне клиента
Обучение и сертификации
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Platform Operations Engineer (AI/Kubernetes/Linux): Operating and improving production AI platforms, GPU infrastructure, Kubernetes, storage, networking, and supporting services with an accent on reliability targets, incident response, lifecycle management, and vendor coordination. Focus on troubleshooting complex distributed platforms, developing recovery and remediation procedures, validating backups, and improving availability, MTTD, MTTR, and automation coverage.
Location: Dallas (USDALFRI) Frisco AI HUB, United States; partially remote
Salary: $143,640–$273,000 annually for U.S. full-time roles. Location-specific ranges may apply, including up to $327,600 in the San Francisco Bay Area and New York City.
Company
hirify.global designs, builds, manages, and modernizes mission-critical technology systems for enterprise customers.
What you will do
Define service boundaries, SLOs, SLIs, alert severity, on-call integration, escalation paths, and restoration priorities with customer operations.
Operate and troubleshoot GPU, compute, Linux, network fabric, storage, Kubernetes, AI Enterprise, scheduler, registry, and platform services.
Lead incident, problem, change, known-error, service restoration, root-cause, and corrective-action processes.
Own lifecycle calendars covering firmware, operating systems, drivers, CUDA, operators, Kubernetes, platform services, security, and AI Enterprise branches.
Develop node cordon, drain, remediation, rebuild, replacement, rollback, and return-to-service procedures; validate backups and recovery for platform state and related repositories, registries, certificates, and secrets.
Coordinate vendor escalations and run operational game days while improving availability, MTTD, MTTR, change success, automation coverage, and incident recurrence.
Requirements
5+ years of production operations experience with Linux, cloud, Kubernetes, HPC, data center, or distributed platforms.
Strong incident, problem, change, patching, upgrade, rollback, and vendor-escalation discipline.
Cross-stack troubleshooting and automation experience in business-critical environments.
Nice to have
Experience operating DGX/HGX, NVIDIA AI Enterprise, InfiniBand/Spectrum-X, BlueField, BCM, DCGM, Run:ai, or NVIDIA GPU clusters.
NVIDIA lifecycle, diagnostics, support-bundle, and compatibility-management experience.
HPC operations, cloud platform SRE, Kubernetes operations, ML platform operations, or distributed-systems support.
Experience with high-speed fabrics, parallel storage, large bare-metal fleets, or public-cloud GPU services.
Enterprise observability, ITSM, automation, reliability engineering, or SRE experience.
SRE, Kubernetes, Linux, cloud, or NVIDIA credentials.
Culture & Benefits
Partially remote work with full-time employment.
Medical and dental coverage, disability benefits, retirement benefits, paid leave, and paid time off.
Eligibility for a discretionary annual performance bonus; sales-commission-eligible roles may use a commission plan instead.
Access to employee learning programs and certification opportunities, including Microsoft, Google, Amazon, and Skillsoft programs.
Inclusive workplace supported by employee inclusion networks, volunteering, and giving programs.
COVID-19 vaccination is not generally required, but proof may be required when working at a client, customer, or partner location; eligible medical or religious accommodations may be requested.
Hiring process
Applications are accepted on a rolling basis.
If applying through an employee referral, select “Employee Referral” and provide the referring employee’s hirify.global email address when asked how you heard about the company.
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