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Designs and maintains data models for Toss’s commerce, ads, payments, growth, and business domains, ensuring reliable, standardized data for analytics and product development using SQL, Python, and Hadoop.
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
Build and refine CI/CD pipelines and Kubernetes-based infrastructure for Toss Securities, focusing on developer experience and robust monitoring to enable rapid, safe deployments.
ML Engineer at Toss builds and deploys recommendation, search, and AI models across fintech and ecommerce to optimize product exposure, CTR, and user experience using PyTorch, Spark, and Kubernetes.
Security Engineer in the Security Purple Team, responsible for designing, building, and operating SIEM (Splunk, Opensearch, Elasticsearch) and log pipelines (NIFI, KAFKA, Hadoop) across On-Prem, AWS, and K8S environments, focusing on log collection, analysis, and automation.
Builds and maintains scalable backend services powering Toss’s fintech products like payments, loans, and ads using Kotlin/Spring, MySQL, Kafka, and Redis.
Builds and scales high-traffic ad-serving backends for Toss’s in-app ad platform, using Kotlin/Spring and distributed systems like Kafka and Redis.
Builds and operates core commerce systems (search, recommendations, orders, payments, ads) for Toss Shopping, a fast-growing B2C marketplace, using Kotlin/Spring and distributed data stacks.
Builds and operates scalable backend systems for a Korean fintech super-app’s financial marketplace, handling loans, cards, insurance, and accounts while integrating AI-driven automation.
Builds and maintains the backend for Toss’s consumer-facing apps (payments, shopping, ads, etc.) using Kotlin, Spring, and distributed systems at scale.
Leads the Data Platform team at Toss, building and operating scalable data pipelines and distributed systems (Hadoop, Kafka, Spark, Flink) to power real-time analytics and services for Korea’s leading fintech app.
Build and maintain Toss Securities' data warehouse and ETL pipelines using Hadoop, Spark, and Airflow to enable efficient data processing and analytics for a growing fintech platform.
Builds and maintains Toss’s enterprise data warehouse, automating pipelines and data marts with Hadoop and open-source tools while collaborating with analysts and ML teams.
Build and maintain monitoring, observability, and performance-testing systems to keep Toss Bank’s high-traffic services stable and scalable using Kotlin/Java, Kubernetes, Istio, Kafka, and Prometheus.
Build and operate Toss’s tax-data infrastructure, enabling large-scale tax refund analytics and powering the refund engine.
# 토스 서버의 조직 구조를 알려드려요 토스의 Server Developer는 Product, Platform, Productivity 세 개의 Chapter로 나뉘어 일합니다. 직무명은 모두 같지만, 각 Chapter마다 집중하는 업무 영역에 차이가 있어요. Product Chapter는 유저가 직접 사용하는 토스의 서비스를 개발해요. 단순한 기능 구현을 넘어, 기술을 통해 비즈니스의…
The Data Analytics Engineer will build and maintain standardized data warehouses and quality management processes to improve data maturity across Toss. The role involves designing efficient data pipelines, developing monitoring systems, and collaborating with domain teams using Hadoop, Airflow, Python, and SQL.
Full Stack Java Engineer building analytics and data insights on a trading platform, primarily using Java and Python with big data and streaming technologies in a hybrid role in Kraków.
Software Engineer building and modernizing inbound clearing data pipelines, reporting tools, and reconciliation systems using Python and SQL at a quantitative trading firm.
Senior Solution Engineer driving Snowflake platform expansion among Telco and FSI enterprise customers in Malaysia through pre-sales technical leadership, architecture design, demos, and POCs.
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