(CNJ-684) | Software Engineer, Anti-Fraud Systems

(CNJ-684) | Software Engineer, Anti-Fraud Systems

09 Nov

09 Nov



Key Qualifications

- Minimum of 2 years experience implementing large-scale production systems

- Working experience in Java and/or Scala

- Cassandra and/or other non-relational data storage knowledge

- Experience with OO design/implementation as well as external system interface design and integration

- Excellent communication skills to facilitate requirements analysis and clarification

- Excellent troubleshooting skills to support infrastructure team in deployment and maintenance as needed

- Knowledge of the following would be useful:

- Fraud-detection and prevention systems, methodologies, technologies

- Kafka, Spark, Akka, Hadoop/HDFS, Postgres, Redis

- Basic data science methods and techniques

- Privacy regulations such as GDPR and the impact on data handling

- Development of test cases and tools in preparing for and maintaining large scale deployments


Apple values our customers. We value their time, their user experiences, and the data they entrust to us. As such, we want to protect our customers from the various threats that exist online. The Anti-Fraud Systems Engineering team does this by identifying and monitoring these threats and developing engineering solutions to counteract them. We maintain a rewarding environment where the best engineers can innovate, collaborate and produce real-world solutions to meet this goal. You will seek hard problems at large scale in the pursuit of new and creative features, specifically in the realm of fraud detection and prevention. You will seek the full process of solution engineering: problem and constraints definition, design and development, unit testing and deployment; as such excellent social skills, high technical capability and success with tight deadlines will be necessary.

Education & Experience

BS Computer Science

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