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Staff, Security Data Platform Engineer

Seoul💼 Full-time🗓 2026-09-09 → 2026-09-25

Core

Design and build the data infrastructure (Data Lake/Warehouse) that powers security detection, analysis, and automated response for Coupang's e-commerce platform.

Role type

Staff Security Data Platform Engineer

Builds

Real-time security data pipelines, SIEM platforms, and data models enabling AI/ML-driven threat detection.

Domain

Cybersecurity / Data Engineering / E-commerce

Deliverable

production ML models | infrastructure

Required skills

Large-scale data engineering, backend system development, AWS data pipeline architecture, Python, security log analysis, cloud infrastructure design, CI/CD, Git

Preferred skills

Cloud data warehouse operations, data orchestration (dbt, Airflow), Detection-as-Code, Infrastructure as Code (Terraform), security data modeling (OCSF, CIM), SIEM operations, AI/LLM in data engineering, Kubernetes log collection

Technologies

AWS, Kafka, Kinesis, S3, Kubernetes, Python, dbt, Airflow, Terraform, CloudFormation

Responsibilities

Design and build security data platform architecture; construct real-time log collection pipelines; operate and optimize SIEM platforms; design data schemas for AI/ML models; manage Detection-as-Code frameworks; optimize large-scale data platform performance and cost; ensure pipeline stability and monitoring.

Seniority

Staff, hands-on IC

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