Lead real-time fraud detection engineering at DataVisor using Java, distributed systems, and machine learning infrastructure at scale. This hands-on position shapes streaming platforms, storage, and training pipelines.
As a technical leader on the Platform Engineering team, you will build DataVisor’s next-generation machine learning platform. You will guide architecture, improve detection algorithms, and automate training for real-time fraud detection. The work includes technical planning, production operations, mentoring, and AI-assisted engineering practices.
Key Responsibilities: Own technical direction for streaming, storage, and training pipelines
Translate roadmaps into milestones, priorities, and technical plans
Lead architecture reviews and document technical trade-offs
Code, review changes,



debug issues, and support incidents
Define secure AI-assisted engineering and operations workflows
Requirements: Eight-plus years of software development experience
Two-plus years of technical leadership experience
Production expertise with Java, Python, and Shell scripting
Distributed real-time systems experience at scale
Bachelor’s degree in Computer Science or related field
Shape DataVisor’s fraud detection platform through technical leadership, Java engineering, distributed systems, and machine learning infrastructure expertise.

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📌 Real Time Fraud Platform Tech Lead (British Columbia)
🏢 DataVisor
📍 British Columbia