Global logistics platform with supply chain optimization and AI/ML infrastructure
CJ Logistics operates a logistics network spanning 40 countries with a tech stack heavy on frontend frameworks (React, Next.js, TypeScript) and cloud infrastructure (AWS, Kubernetes, Terraform). Active projects center on AI/ML platform infrastructure, supply/demand forecasting, and optimization modeling—signaling a shift toward data-driven operational efficiency. The hiring mix is senior-skewed with a balanced spread across engineering, data, design, and product, suggesting maturation of their technology capability rather than pure growth-stage scaling.
CJ Logistics is a publicly traded logistics provider headquartered in Seoul, South Korea, operating across 40 countries. The company delivers integrated supply chain services spanning contract logistics, parcel, forwarding, international express, stevedoring, transportation, and e-commerce fulfillment. With over 10,000 employees, CJ Logistics positions itself as a full-service SCM provider combining domain logistics expertise with technology platforms. Current focus is on automation, forecasting capabilities, and operational optimization to support their global network.
Frontend: React, Next.js, TypeScript, Tailwind CSS, Material-UI. Backend/Infrastructure: AWS, Kubernetes, Terraform, Ansible, CloudFormation, PostgreSQL. Observability/Analytics: Tableau, SageMaker. ML frameworks: PyTorch, TensorFlow, Keras. CI/CD: GitLab CI/CD, Jenkins, ArgoCD.
Current projects include AI/ML platform and workflow infrastructure, supply/demand forecasting platform enhancement, optimization modeling for operational efficiency, AIOps performance analysis, data pipeline creation, and TMS/admin UI/UX design.
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