Tech jobs
Job listings
[코어] Data Analytics Engineer (Feature)
Designs and builds enterprise-wide feature pipelines (ML inputs, search indexes, APIs) for Toss, ensuring data lineage, quality, and lifecycle management while standardizing feature metadata and governance processes.
Data Engineer (Data Service Platform)
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).
Data Engineer (Realtime)
Build and optimize real-time data pipelines for Toss Securities, using Kafka, Flink, and OLAP systems to process high-volume financial transactions instantly.
Data Platform Engineer (Streaming)
Builds and operates real-time data pipelines and streaming platforms using Kafka, Flink, and CDC tools to process high-volume logs and transactions for Toss Bank.
DevOps Engineer
Build and maintain Kubernetes-based cloud-native infrastructure at a leading Korean fintech company, automating deployments and improving developer experience.
DevOps Engineer
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.
DevOps Engineer
Build and maintain Kubernetes-based cloud-native platforms to enable fast, safe deployments and resilient operations for Toss’s offline payment ecosystem.
DevOps Engineer
Build and maintain cloud-native infrastructure on AWS EKS to enable fast, secure deployments for insurance products using Kubernetes, Terraform, and observability tools.
DevOps Engineer [산업기능요원/전문연구요원]
Build and refine Kubernetes-based CI/CD pipelines and observability tooling to help Toss developers deploy and debug services at scale.
ML Engineer (커뮤니티 추천)
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
ML Engineer (Infra)
Designs and operates ultra-high-performance AI infrastructure (GPU clusters, InfiniBand, Kubernetes) for Toss Securities' ML services, optimizing resource use and eliminating bottlenecks.
ML Engineer (Platform)
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
Node.js Developer
Build and maintain Node.js-based automation platforms at a fintech securities company, using TypeScript, NestJS, and distributed systems tools to streamline customer and internal services.
Security Engineer (이벤트 분석/사고 대응)
Build and operate a SIEM-based security monitoring system, analyze security events, and respond to incidents for Toss Securities, using tools like Splunk and ELK.
Security Engineer(보안 분석 플랫폼 운영)
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.
Security Researcher (APT/인프라 모의해킹)
A Security Researcher performs simulated hacking (APT attacks) and infrastructure diagnostics to proactively identify and mitigate vulnerabilities across Toss’s financial systems, collaborating closely with engineering teams to enhance security while balancing usability.
Server Developer (SRE)
Builds and operates resilient payment infrastructure, focusing on stability, scalability, and low latency using Java, Kubernetes, and observability tools.
Site Reliability Engineer
Site Reliability Engineer at Toss in Seoul, maintaining and improving the stability, scalability, and performance of high-traffic systems using Kubernetes, Java/Kotlin, and monitoring tools.
Site Reliability Engineer
Maintains and scales Toss’s payment and financial services infrastructure to ensure high availability and performance using cloud-native tools and DevOps practices.
Data Engineer (금융데이터/AI)
Builds and maintains a global financial data platform for securities, processing real-time market data with AI/ML pipelines using Kafka, Spark, and Iceberg.