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 pipelinesTranslate roadmaps into milestones, priorities, and technical plansLead architecture reviews and document technical trade-offsCode,



review changes, debug issues, and support incidentsDefine protected AI-assisted engineering and operations workflowsRequirements: Eight-plus years of software development experienceTwo-plus years of technical leadership experienceProduction expertise with Java, Python, and Shell scriptingDistributed real-time systems experience at scaleBachelor’s degree in Computer Science or related fieldShape DataVisor’s fraud detection platform through technical leadership, Java engineering, distributed systems, and machine learning infrastructure expertise.

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