Big Data Infrastructure Engineer

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תיאור משרה

About the Role

We’re looking for a talented multi disciplinary Data Engineer with passion for infrastructure, who will be responsible for the performance, scale, and stability of our core streaming platform. We are a data-driven organization, ingesting data at high rates, with demands increasing each day.

As a Big Data Infrastructure Engineer, you will be part of the Data Engineering group and will be responsible for a large scale production streaming platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the accessibility of our platform for the use of other dev departments. We will look to you to be a center of knowledge, consult, and share your expertise with others.

What You'll Be Doing

  • Implement the future data streaming platform in Riskified, providing real-time and near real-time scalable and resilient platform for our growing stack of products and microservices
  • Administrate, provision and monitor our streaming platform
  • Develop, maintain and enhance the Streaming related Application infrastructure.
  • Guide development teams and mentor other team members
  • Use your creativity to resolve complex and high scale data related issues
  • Research new technologies, starting from POC level to production grade systems.

Our R&D Team

  • We practice agile methodologies, building cross functional teams around business value with a high level of independence. 
  • We aim for a DevOps culture, where each team has end-to-end ownership of their product, with a can-do and collaborative mindset.
  • We're passionate about quality at scale, performance engineering, high availability, robust distributed architecture, and clean code. We work with various programming languages and data platforms to optimize the right technological solutions for each product.
  • As part of our team, you'll work with cutting-edge technologies and contribute to the creation and maintenance of one of the most interesting and complex products on the market, including:
  • Our analysis flow, involving a variety of data sources + complex analytical logic, with high availability and SLA requirements
  • Our business applications, meant to serve the world’s first tier customers’ payments teams and their varied use cases
  • Our operational tools, used to maintain effective, self-serve management of considerable onboarding size and monitor our customers’ analytical performance

דרישות תפקיד

  • At least 3 years prior experience as a Data Engineer / Big Data Infrastructure engineer
  • Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink
  • B.Sc. in Computer Science (or equivalent)
  • Experience working on high scale, production-grade projects


  • Experience with the Cloud Native stack( Kubernetes / Prometheus/Istio etc.)
  • Experience with a cloud provider (AWS, Google etc.)
  • Experience with Infrastructure as code tools (Ansible, Terraform etc.) 
  • Experience with Scala

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על החברה

ריסקיפייד מסייעת לתעשיית האי-קומרס לממש את מלוא הפוטנציאל שלה על ידי הפיכתה למקום בטוח, נגיש ומהיר. החברה נכנסה למועדון חדי הקרן בשלהי 2019 ומעסיקה יותר מ-600 עובדים בישראל, ארה"ב, אירופה וסין. פתרונות מניעת הונאות האשראי מבוססי הבינה המלאכותית (AI) של החברה מספקים לחברות המסחר האלקטרוני יכולת להבחין, באופן מיידי ומדויק, בין לקוחות לגיטימיים למקרי הונאה ובכך להגדיל את אחוז ההמרה לרכישה. ריסקיפייד פיתחה פתרונות שמטרתם להגן על הסוחרים והצרכנים לכל אורך תהליך הרכישה, תוך מניעת הונאות אשראי, פסילת עסקאות שלא לצורך ושמירה על ולשמור על חוויית משתמש מיטבית.

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