DataVisor is a next-generation security company that utilizes industry-leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce, and money laundering. Our solution is used by some of the largest Financial/Crypto sectors in the world, including Visa, Synchrony Financial, Binance, and Okcoin, to protect them from the ever-increasing risk of fraud. Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
As platform engineers, we are building a next-generation AI-driven decision platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.
As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time detection possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.
Working as a software engineer, backend, you will develop our fraud and risk platform backend in Java and C++. You will work cooperatively with others across the organization to achieve shared goals to translate high-level roadmap vision into practical feature specifications and deliverables.
Minimum Qualifications Bachelor's Degree in Computer Science, Computer Engineering, or a related field Minimum 5+ years of software development experience building large-scale cloud applications Programming experience in Java/C++ Working knowledge of relational and NoSQL databases (MySQL, Cassandra) Have distributed system architecture design knowledge or experience with high concurrency and low latency system development Enjoy thinking creatively and experimenting Preferred Qualifications Spark, Kafka, and Flink Worked on multithreaded applications Experience in Shell and Python Experience in Kubernetes Experience in CUDA development is a plus Benefits include Health Insurance, 401K, and PTO.
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