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Lunit

AI-powered cancer detection and treatment

DevOps Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • At least 3 years of relevant experience or equivalent capability.
  • Experience operating and troubleshooting Kubernetes-based production environments.
  • Experience with infrastructure-as-code automation and operations.
  • Experience operating deployments based on Helm or Kustomize.
  • A strong focus on service reliability and operational responsibility.
  • Communication and collaboration skills.
  • Experience with incident response and post-mortem practices.

Responsibilities

  • Operate and respond to incidents for Kubernetes-based services and platforms.
  • Manage infrastructure and deployment changes using Terraform-based infrastructure as code and GitOps tools, including Argo CD and Helm.
  • Operate and tune monitoring, logging, and alerting systems to improve observability and operational efficiency.
  • Improve CI/CD pipelines and strengthen deployment reliability.
  • Analyze and optimize resource usage, costs, and performance.

Desired Qualifications

  • Experience operating and tuning observability systems.
  • Experience designing infrastructure architecture.
  • Experience operating GPU-based workloads.
  • Experience operating multi-cluster and hybrid-cloud environments.
  • Familiarity with documentation and knowledge-sharing practices.
  • Ability to communicate in English.
  • Understanding of the medical industry and strong interest in diagnostic medicine and artificial intelligence.

About the Company

Lunit

AI-powered cancer detection and treatment

Lunit develops AI-powered software that helps hospitals detect cancer earlier and predict treatment responses by integrating into existing clinical workflows. Its AI analyzes medical images and related data to identify signs of early-stage cancer and forecast how well a treatment will work. Unlike some competitors, it has real-world deployments, such as nationwide use at Inje University Paik Hospital, and a global network of research partners, with a focus on integrating AI into current healthcare systems. Its goal is to improve cancer survival by enabling earlier detection and more personalized treatment planning.

Company size
201-500
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
2013

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