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5 дней назад

Cloud Support Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Cloud Support Engineer (AI) (secure cloud-based silicon design and HPC): Supporting and improving Linux-based cloud environments for external customers with an accent on system reliability, HPC performance, licensing, automation, and secure operations. Focus on troubleshooting compute, storage, networking, identity, scheduler, and license issues while developing agentic AI and scripting solutions to reduce MTTR.

Location: San Jose, United States. The role supports export-restricted ITAR/CUI environments and requires U.S. Person status or eligibility as required.

Company

hirify.global develops technology and secure cloud-based environments for silicon chip design, electronic design automation, and high-performance computing workloads.

What you will do

  • Provide primary technical support for external customers using secure cloud-based silicon design platforms.
  • Support and troubleshoot Linux-based, multi-tenant cloud environments across compute, storage, networking, and identity services.
  • Monitor HPC cluster performance, job throughput, queue health, scheduler configuration, resource contention, I/O, and memory usage.
  • Troubleshoot license availability, utilization, and checkout issues using systems such as FlexNet/FLEXlm.
  • Develop automation for monitoring, provisioning, license tracking, abnormal-behavior detection, and operational efficiency.
  • Participate in incident response, root cause analysis, corrective actions, and customer-facing documentation.

Requirements

  • Strong hands-on experience with Linux system administration and troubleshooting.
  • Experience supporting HPC or large-scale compute environments and distributed resource managers such as Slurm, LSF, or SGE.
  • Proficiency in Python, shell scripting, Perl, or similar automation-focused languages.
  • Experience with monitoring, logging, alerting, and license management systems.
  • Excellent technical customer service, communication, organization, urgency, and ownership.
  • Ability to work with export-restricted ITAR/CUI data and meet U.S. Person status or eligibility requirements.

Nice to have

  • Experience with EDA, semiconductor, or silicon design environments.
  • Familiarity with AWS, Azure, GCP, OpenStack, or OpenShift cloud-based HPC platforms.
  • Experience applying AI-assisted or autonomous automation in operations or support.
  • Exposure to Ansible, Terraform, or other configuration-management and infrastructure-as-code tools.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Culture & Benefits

  • Customer-facing, service-oriented work focused on responsiveness, professionalism, trust, and customer satisfaction.
  • Operational work in secure environments with high compliance, access-control, auditing, and change-management standards.
  • Focus on automation, agentic AI, reliability, and reducing mean time to resolution.

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