"Conquering cancer through AI"
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 part of the AI Platform department. The role of the AI Platform department is to support the AI Research department in their model development to continuously improve it.
- A 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, but also 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 a diverse set of 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 is being 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 setup 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 to 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 optimization opportunities
- Move towards infrastructure as a service for our data pipeline solution and internal applications
- Preach and coach DevOps good practices to other coworkers/teams
- Resolve complicated technical issues relevant to our systems, infrastructure, and DevOps
🚩 Tools Used
- Technical tools/technologies: GCP, AWS, Azure, Ansible, Terraform, Kubernetes, Github Actions, Helm, ArgoCD, Docker, Bash, Linux, Git, Python
- General: Slack, Confluence, Jira
Requirements
🎯 Qualifications
- Bachelor/Master’s degree in Computer Science, (Software) Engineering or a related field or proven practical experience.
- 6+ years experience in DevOps/Software Engineering
- Experience with Kubernetes, Git, Docker, Helm and CI/CD pipelines tools (e.g. Github Actions, Gitlab CI, Jenkins, …)
- Experience with Infrastructure as Code tools (e.g. Ansible, Terraform, Puppet, …)
- Experience with Cloud Providers like (e.g. GCP, AWS, Azure, …)
- Proficient in English
- Highly responsible, eye for detail and motivated to build high quality and reliable solutions following the current best practices
- Exceptional teamwork and mentoring skills
- Passionate about Agile, DevOps and security best practices
- Knowledge of Linux servers administration and shell scripts
- Experience in application and infrastructure monitoring
- Understanding of cluster auto-scaling and cost-efficient cloud-based solutions
- 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, …)
- 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 interview (Technical + Behavior)→ Culture-fit Interview → Onboarding
- All interviews are conducted in English.
- After the final interview, we may proceed with reference checks if needed.
- The expected start date is January 2025.
🤝 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
🌻Benefits & Perks
- The office is at a very convenient location, just a minute away from Gangnam Station Exit 3.
- Meal Allowance is provided (up to 12,000 KRW per meal) when working at the office.
- Up to 300,000 KRW is covered upon joining to decorate your personal workspace.
- Latest computer models, such as Macs and 4K monitors are provided and can be renewed every three years.
- Seminar registration fees and book purchases are covered.
- Regular in-house AI and medical seminars are held.
- Korean lessons are provided for Lunitians who do not speak Korean as their first language.
- In-house English lessons (aka Luniversal) is provided for English development.
- Access to high-quality AI learning resources & deep learning DevOps system.
- Up to 1.2 million KRW worth of benefits points can be claimed annually.
- Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok.
- Congratulatory and Condolence allowances, along with paid time off are provided.
- Annual medical checkups and employee accident insurance are provided.
- Expenses for monthly employees gatherings are partially covered.
