DevOps & Platform Engineer (AI)

TL;DR

DevOps & Platform Engineer (Python/IaC): Designing and managing CI/CD pipelines and on-premise infrastructure for system software teams with an accent on build, test, and release automation. Focus on developing agentic workflows and integrating AI-based tools to accelerate the entire software development life cycle.

Location: On-site in Seongnam, South Korea

Company

AI semiconductor company specializing in high-performance accelerators and system software.

What you will do

• Enhance productivity for the System Software team responsible for Device Drivers and Firmwares.
• Design and manage comprehensive CI/CD pipelines covering build, test, release, and deployment.
• Maintain on-premise infrastructure, including servers and workstations, ensuring robust observability.
• Develop agentic workflows and adopt AI-based tools to accelerate the SDLC.

Requirements

• Minimum of 6 years of experience in DevOps Engineering.
• Strong development skills in Python, with proficiency in Go and Bash.
• Solid understanding of Linux fundamentals.
• Experience managing on-premise and cloud infrastructure (AWS, Azure, GCP).
• Proficiency with GitOps and Infrastructure as Code (IaC) tools such as Ansible and Terraform.

Nice to have

• Familiarity with Kubernetes, OpenStack, and Slurm.
• Hands-on experience with agentic workflow frameworks like LangGraph or Google ADK.
• Deep understanding of DevOps/SRE best practices.
• Extensive experience with various open-source technologies.

Hiring process

• Document review.
• Online interview (including culture-fit and coding test).
• On-site interview.
• Offer negotiation and final approval.