DataVisor
Overview
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 Summary We 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.
Responsibilities
Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.
Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning.
Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.
Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.
Qualifications
BS degree in Computer Science or related field required; MS/PhD preferred
Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture
3+ years of experience leading or managing teams
8+ years of software development experience
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
Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus
Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred
Knowledge of the Spring Framework is a plus
Exposure to test-driven development and high-quality engineering practices
Excellent oral and written communication skills
Strong team spirit and collaboration mindset
Why Join Us
Impact at Scale: Work on fraud detection systems processing billions of events daily.
Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure.
Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.
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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 Summary We 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.
Responsibilities
Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.
Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning.
Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.
Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.
Qualifications
BS degree in Computer Science or related field required; MS/PhD preferred
Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture
3+ years of experience leading or managing teams
8+ years of software development experience
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
Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus
Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred
Knowledge of the Spring Framework is a plus
Exposure to test-driven development and high-quality engineering practices
Excellent oral and written communication skills
Strong team spirit and collaboration mindset
Why Join Us
Impact at Scale: Work on fraud detection systems processing billions of events daily.
Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure.
Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.
#J-18808-Ljbffr