Search the 6 jobs at DataVisor

The Senior Quality Assurance Engineer will analyze information to recommend and plan new systems or modifications, program software for internet applications, conduct requirement analysis, and maintain automation frameworks. They will collaborate with product managers and engineers to resolve issues promptly, optimize user experiences, and design automated tests for UI and API.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.

As a Software Engineer at DataVisor, you'll design and build machine learning systems to detect fraudulent behavior, optimize tools, and develop architecture for real-time data processing using various technologies. You'll work with big data tools and contribute to enhancing detection algorithms as part of a creative and collaborative team.

The Senior Software Engineer will design and build machine learning systems for fraud detection, utilizing unsupervised and supervised algorithms. Responsibilities include developing real-time systems, optimizing machine learning pipelines using big data technologies, and enhancing core detection algorithms.

The Senior Software Engineer will design and build machine learning systems that process large data sets for fraud detection. Responsibilities include developing real-time systems, optimizing pipelines, and utilizing big data technologies like Spark and Kafka. The role focuses on enhancing detection algorithms and automating training processes.

As a Software Engineer, you'll design and build machine learning systems for fraud detection using unsupervised and supervised machine learning. Responsibilities include developing real-time distributed systems, optimizing algorithms, and leveraging big data technologies like Spark and Kafka. The goal is to enhance detection capabilities while working with a collaborative team.