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Designs and operates Carrot Market’s global and hyper-local network infrastructure, ensuring security, scalability, and high availability while automating operations and monitoring traffic in real time.
Research and mitigate AI-specific threats like prompt injection and LLM agent attacks, automate security testing with tools like promptfoo and garak, and embed security into AI feature design.
Builds and optimizes large-scale ad-serving systems handling billions of daily requests using microservices, real-time bidding, and ML-driven targeting for a 19M-user marketplace.
Builds and evolves the backend for ‘나의 당근’, a personalized hub that surfaces next actions using Server Driven UI and connects user activity across Carrot’s services.
Data-focused software engineer on Danggeun Market's Data Valorization team in Seoul, building scalable batch/streaming data systems, automated event logging, observability/data-quality checks, and internal data products (metrics and experiment platforms). Works with Python/Java/Kotlin/Go, AWS/GCP, and big-data tools like Spark, Flink, and BigQuery.
Build and maintain the image and video platforms that power Carrot Market’s listings and content, optimizing delivery pipelines and multi-cloud/CDN architectures for global scale.
Backend engineer on Karrot (Dangun Market)'s Feed ML Data Platform team, building and operating the feature store, recommendation engine, and embedding pipelines that serve recommendations to 21M MAU users at 100K+ events/sec with sub-30ms p99.9 latency. Core stack: Go, gRPC, Kafka, Redis, DynamoDB, and GCP streaming/data tools.
Entry-level backend engineer on Dangun Market (Karrot)'s Feed ML Data Platform team, building and operating the feature store, recommendation engine, and embedding pipelines that serve recommendations to 21M+ MAU users at high throughput and low latency, using Go, gRPC, Redis, Kafka, and GCP/AWS data tools.
Backend engineer on Danggeun Market's Biz Profile CRM team, building customer-management tools (news, coupons, regulars/loyalty) that help local shop owners grow revenue — owning the full cycle from problem discovery through design, deployment, monitoring, and data analysis. Stack: Kotlin/Java, Spring Boot, MongoDB, MySQL, Redis, Kafka, BigQuery on AWS/Kubernetes.
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