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Nota AI
DevOps Engineer
Seoul, South KoreaPosted 4 months ago
What you'd do
- Design and automate CI/CD pipelines for AI model optimization software deployments
- Build,deploy,and version-manage SDK and library packages including PyPI and Docker Registry
- Manage Kubernetes-based container orchestration environments at production scale
What they want
- Hold 5 or more years of DevOps,SRE,or infrastructure engineering experience
- Design and operate AWS cloud services including EC2,EKS,RDS,S3,and VPC
- Build and operate Kubernetes clusters in a live production environment at scale
Nice to have
- LLMOps or MLOps pipeline build and end-to-end operations experience
- LLM serving infrastructure experience using vLLM,TGI,or Triton for model serving
- GPU cluster management and scheduling experience with NVIDIA GPU Operator or MIG partitioning
Seoulstart's read
- Visa tier (likely)
- E-7 specialty / professional (likely)
- Korean language
- Korean requirement not stated
- English friendliness
- Low: Korean-language workplace
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