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Job Description
DataVisor is a next-generation security company that utilizes industry-leading unsupervised machine learning to detect fraudulent activity across financial transactions, mobile user acquisition, social networks, commerce, and money laundering. Our solutions are used by some of the largest financial and crypto sectors in the world, including Visa, Synchrony Financial, Binance, and Okcoin, to protect against the increasing risks 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 that incorporates our proprietary UML (unsupervised machine learning) alongside other SML (supervised machine learning) algorithms. Our team focuses on improving our core detection algorithms and automating the entire training process.
With the rise of complex fraud attacks, real-time detection is more crucial than ever. The platform team is responsible for developing the architecture that enables real-time detection. We are seeking creative and eager engineers to expand our innovative streaming and database systems, which enhance our detection capabilities.
We continue to push the boundaries of what is possible in fraud detection and data processing at scale. Join us to help develop more innovative solutions in the fraud detection space.
Responsibilities
Develop and maintain our fraud and risk platform backend using Java and C++.
Collaborate with cross-functional teams to translate high-level roadmaps into practical features and deliverables.
Requirements
Bachelor's Degree in Computer Science, Computer Engineering, or a related field.
Minimum 5+ years of experience in software development for large-scale cloud applications.
Proficiency in Java and C++ programming.
Working knowledge of relational and NoSQL databases (MySQL, Cassandra).
Experience with distributed system architecture design, high concurrency, and low latency system development.
Creative thinking and experimentation skills.
Preferred Qualifications
Experience with Spark, Kafka, and Flink.
Experience developing multithreaded applications.
Proficiency in Shell scripting and Python.
Experience with Kubernetes.
CUDA development experience is a plus.
Benefits
Health Insurance, 401K, PTO.
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