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About the job

Korea💼 Full-time🗓 2026-09-22

Core

Designing and leading the architecture for Data Lake platforms and cloud-native infrastructure to enable digital transformation in manufacturing sites.

Role type

Senior Data Lake & Data Platform DevOps Architect

Builds

Scalable Data Lake platforms, Kubernetes-based clusters, and automated CI/CD pipelines for large-scale data processing.

Domain

Manufacturing industry, Cloud Infrastructure, Data Engineering

Deliverable

infrastructure

Required skills

Data Lake architecture, Kubernetes cluster management, CI/CD pipeline design, Microservices architecture, Infrastructure as Code, System performance optimization, Distributed systems knowledge, Cloud platform expertise, Open source technology application, Large-scale data platform operations

Preferred skills

Big data ecosystem tuning (Kafka, Airflow, Spark), Cloud architecture certifications (CKA, CKAD, AWS/GCP/Azure Professional), Infrastructure configuration management (Terraform, Ansible), Integrated monitoring (Prometheus, Grafana), Global communication skills

Technologies

Kubernetes, GitLab, Jenkins, ArgoCD, Linux, Kafka, Airflow, Spark, Prometheus, Grafana, Terraform, Ansible

Responsibilities

Designing integrated architecture for Data Lake infrastructure and applications, Building and optimizing high-availability Kubernetes clusters, Establishing standards for microservices and common API modules, Implementing automated CI/CD and infrastructure provisioning, Leading system performance testing and complex architecture troubleshooting

Seniority

Senior, hands-on IC with architectural leadership

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