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Description
Our ability to rapidly build and deploy effective fraud-fighting solutions to production is critical in our fight with fraudsters and abusers. Our solutions team is at the heart of this, building and supporting Services to make high-volume, low-latency risking systems for making decisions at scale and working on integrations to make decisions that protect our customers. Not only must we be able to quickly respond to our adversaries, we also have to be able to run seamlessly across different execution contexts such as real-time, near real-time and batch utilizing diverse stacks such as Spark, Hadoop, Kafka, Cassandra and beyond. This is a software engineering role, where a large part of an engineer's time is spent writing code with the remainder being spent on designing, architecting and evolving our systems in partnership with our Platform team, tuning and debugging, supporting production systems. If you love services, big data, distributed systems, have an interest in ML and have a curiosity with the internal workings of these systems, we'd love to talk with you about joining our team!
Minimum Qualifications
BS or MS in Computer Science or related field, or equivalent experience 3 or more years of experience working on large-scale, enterprise applications using Java/Scala and related technologies Experience in relational and non-relational database systems Experience designing and operating highly distributed, scalable, and highly available systems Excellent communication skills to support requirements analysis and clearly articulate design and trade-offs
Preferred Qualifications
MS in Computer Science or related field Experience with big data and machine learning systems, tools, and technologies Experience building microservices or event-driven applications from the ground up
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