Sr. DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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