DevOps Engineer (AI)

Location: Hybrid in South Korea, with 3 days in the office. Office location: Seongnam-si, Gyeonggi-do, KR 13529.

Company

hirify.global builds and manages AI factory platforms, high-performance computing infrastructure, memory and compute systems, infrastructure software, and end-to-end technology services.

What you will do

• Build automation workflows for lights-out operations.
• Integrate systems and platforms using infrastructure as code.
• Build and maintain CI/CD pipelines.
• Implement monitoring and observability for system performance metrics, alerting, and customer-service dashboards.
• Provide customer-facing IT support, troubleshoot Linux and AI task errors, and collaborate with customers on technical initiatives.
• Respond to after-hours system errors and participate in a weekly on-call rotation.

Requirements

• Bachelor’s degree in computer science, computer or electrical engineering, a related field, or equivalent experience.
• 6+ years of hands-on experience with UNIX/Linux server environments, CI/CD pipelines, and infrastructure as code.
• 2+ years of experience with Python and Ansible scripting.
• Strong Linux systems administration skills, including networking protocols, open-source technologies, performance troubleshooting, and system monitoring.
• Familiarity with CPU and GPU compilers and technologies including GCC, Intel, AMD AOCC/ROCm, NVIDIA PGI/OpenACC, and CUDA.
• Ability to speak English and communicate clearly with team members and clients.

Nice to have

• HPC application and systems management, MPI, optimization, hardware, and data center experience.
• AI virtualization, applications, container orchestration, systems management, or hardware design experience.
• High-performance storage and parallel file system experience, including HPC cluster administration.
• Linux certifications such as RHCSA or RHCE.
• Experience installing, configuring, tuning, and supporting software applications, including vendor coordination.

Culture & Benefits

• Collaborative environment focused on innovation, ownership, and servant leadership.
• Opportunities to work with advanced AI tools and technologies.
• Exposure to challenging infrastructure, HPC, cloud, and enterprise systems.
• Flexible, outcome-focused work environment with continuous learning opportunities.