Riskified Tech

driven and use machine-learning algorithms and behavioral analytics to identify legitimate customers and bring value to our users. Our teams are agile and independent and motivate our engineers to take end-to-end ownership over their products. We use an advanced and mixed technology stack that supports our data pipeline, model training, and decision-making engine (Scala, Kafka, Spark, DynamoDB, Elasticsearch, Airflow), as well as merchant-facing and operational applications (React, Angular, Node.js) and scalable infrastructure (Microservices, Kubernetes, Istio, ArgoCD). We value learning, mastery of technical skills and personal growth. Read more in our Tech Blog and on our Meetup group.