DevOps Engineer · AI Platform

Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and individually tailored cancer treatment.

About the team

The candidate will work as a DevOps Engineer in the MLOps team that is a part of the AI Platform department. The role of the AI Platform department is to support the AI Research department in its model development to improve it continuously. Close collaboration is expected with DevOps/MLOps/Data Engineers within the MLOps team to maintain and enhance the current infrastructure and services of the AI Platform, as well as with Software Engineers in FE/BE teams or Researchers to help them automate and improve their processes. Our team is an international team of enthusiastic researchers/engineers with diverse interests. We foster a friendly and open environment, encouraging idea/knowledge sharing and collaboration.

About the position

Our mission is to Conquer Cancer through AI. By providing a robust platform solution, you’ll actively contribute to the development of innovative AI models. Lunit AI solution has been recognized as best-in-class worldwide and used in real-world hospitals, laboratories, and research studies. This DevOps Engineer role involves solving numerous challenging yet interesting problems to contribute to our mission. To be more specific:

• Design and set end-to-end automation to allow Researchers and Software Engineers to focus on feature development and model improvements
• Optimize infrastructure and applications to reduce costs and improve performance to accelerate internal processes
• Mentor juniors and educate them on the DevOps best practices to provide reliable and reproducible solutions

Roles & Responsibilities

• Design and manage on-premise and cloud-based infrastructure to support increasing workload
• Automate all the steps of the Software Development Life Cycle of internal applications to improve speed of development and deployment
• Enhance applications and infrastructure monitoring, backup and security to detect vulnerabilities, bottlenecks and optimisation opportunities
• Move towards infrastructure as a service for our data pipeline solution and internal applications Preach DevOps good practices to other coworkers/teams

Tools Used

• Infrastructure: GCP, AWS, Ansible, Terraform, Kubernetes, Github Actions, Helm, ArgoCD, Docker, Bash, Linux, Git, Python
• General: Slack, Confluence, Jira

Qualifications

• Bachelor’s degree in Computer Science, (Software) Engineering or a related field or proven practical experience
• 5+ years experience in DevOps/Software Engineering
• Solid experience with Kubernetes, Git, Docker, Helm and CI/CD pipeline tools (e.g. Github Actions, Gitlab CI, Jenkins etc.)
• Experience with infrastructure as code tools (e.g. Ansible, Terraform, Puppet, and etc.)
• Experience with cloud providers like (e.g. GCP, AWS, Azure, and etc.)
• Proficient in English
• Passionate about Agile, DevOps and security best practices
• Strong knowledge of Linux server administration and shell scripts
• Experience in application and infrastructure monitoring
• Understanding of cluster auto-scaling and cost-efficient cloud-based solutions
• Highly responsible, eye for detail and motivated to build high-quality and reliable solutions following the current best practices
• Exceptional teamwork and mentoring skills
• Positive influencer and activator of teammates
• Ability to quickly adapt to new tools and technologies

Preferred Experiences

• Experience with ArgoCD or other GitOps tools
• Experience in application and infrastructure vulnerability checks
• Experience with a programming language (e.g. Python, Go etc.)
• Understanding of common machine learning principles
• Contributions to open-source projects

How to Apply

• CV (resume, free format, in English)

Hiring Process

• Document Screening → Introductory Interview → Assignment → Competency-based Interview → Culture-fit Interview → Onboarding
• All interviews are conducted in English.
• After the final interview, we may proceed with reference checks if needed.

Work Conditions and Environment

• Work type: full-time
• Work location : Lunit HQ(5F, 374, Gangnam-daero, Gangnam-gu, Seoul)
• Salary: after negotiation

ETC

• If you misrepresent your experience or education or provide false or fraudulent information in or with your application, it may be grounds for cancellation of the employment.
• Lunit is committed in providing the preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations.

Benefits & Perk

• The new office is one minute away by foot from Gangnam Station Exit 3 making it very convenient
• Up to 12, 000 won is covered for both lunch and dinner when working at the office.
• Up to 300,000 won is covered upon joining to decorate your personal workspace
• Provide the latest computer models, such as Macs and 4K monitors, and renew them every three years
• Attending seminars and purchasing books are covered
• Regular in-house AI and medical seminars are held
• Korean language education is provided for Lunitians who do not speak Korean as their first language
• Access high-quality AI learning resources & deep learning DevOps system
• Up to 1.2 million won worth of benefits points can be claimed annually
• Korean National holiday gift: Seollal and Chuseok gift/voucher
• Annual medical checkups and employee accident insurance are provided
• Financial support for participation in employee gatherings (once a month)