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Sr. DevOps Engineer (AI)

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

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TL;DR

Sr. DevOps Engineer (AI): Designing and managing infrastructure for AI factories and high-performance computing environments with an accent on automation, CI/CD pipelines, and Linux system optimization. Focus on building automation workflows for lights-out operations, integrating platforms through Infrastructure as Code, and resolving complex AI task errors.

Location: Hybrid – South Korea (3 days in office, Seongnam-si)

Company

hirify.global is an AI Factory Platform Company specializing in high-performance computing and AI infrastructure for enterprises and neocloud providers.

What you will do

  • Build automation workflows to enable lights-out operations.
  • Integrate systems and platforms using Infrastructure as Code (IaC).
  • Develop and maintain CI/CD pipelines for AI workloads.
  • Implement monitoring and observability systems for performance metrics and alerting.
  • Create dashboards for customers and customer services.
  • Provide IT support and troubleshoot errors within Linux environments, including AI task failures.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of hands-on experience with UNIX/Linux server environments, CI/CD, and IaC.
  • 5+ years of experience with Python and Ansible scripting.
  • Strong Linux systems administration and networking implementation skills.
  • Experience with CPU and GPU compilers (gcc, Intel, AMD, NVIDIA/CUDA).
  • Must be based in South Korea for a hybrid work arrangement.

Nice to have

  • Experience with HPC (MPI, OS optimization) and AI (Container Orchestration).
  • Knowledge of high-performance storage and parallel file systems.
  • Linux Certifications such as RHCSA or RHCE.

Culture & Benefits

  • Collaborative environment that values ideas over hierarchy.
  • Servant leadership approach to empower employee ownership and innovation.
  • Opportunities for continuous learning and exposure to advanced AI tools.
  • Focus on outcomes with flexibility where it matters.

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