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.

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