Software Engineer - Infrastructure team

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

The software engineer - infrastructure team is the backbone of DataVisor. Without our distributed and highly robust systems, business would stop. We tackle important challenges: clients require sub-second response times while we find relationships in terabytes of data. We’ve created, and continually improve, our massive cluster infrastructure, allowing highly computationally expensive jobs to run smoothly. We love using and learning about the latest technologies such as Spark, Cassandra, K8s, and Docker. We’re excellent software engineers building new infrastructure for our clients as well as other engineering teams within DataVisor.

As a software engineer in the infra team, you will be part of the team that manages releases and deploys to a global, multi-cloud footprint. You will be responsible for automating our code deployment and infrastructure management process, and for helping us scale to real-time responses with huge client datasets. You will be instrumenting monitors to ensure that our systems adhere to the strictest of SLA, and help us reduce our cost footprint by optimizing the way we run jobs across multiple cloud providers globally. You will be looking for the root cause for an issue and make code changes to improve the reliability and scalability of our systems.