DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce.We partner with leading global brands, delivering solutions built on top of our highly scalable platform. Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven.Join us and help push the boundaries of what’s possible in fraud detection.Role SummaryWe are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor’s detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale.You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you’ll enable our customers to detect and stop complex fraud patterns in real time.What You’ll Do<ul> <li>Design &amp; Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.</li> <li>Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.</li> <li>Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.</li> <li>Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning.</li> <li>Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.</li> <li>Lead &amp; Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.</li> </ul><ul> <li>BS degree in Computer Science or related field required; MS/PhD preferred</li> <li>Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture</li> <li>3+ years of experience leading or managing teams</li> <li>8+ years of software development experience</li> <li>Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus</li> <li>Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus</li> <li>Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred</li> <li>Knowledge of the Spring Framework is a plus</li> <li>Exposure to test-driven development and high-quality engineering practices</li> <li>Excellent oral and written communication skills</li> <li>Strong team spirit and collaboration mindset</li> </ul>