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 safe 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 in Vancouver employer: DataVisor
At DataVisor, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Data Scientist focusing on fraud detection, you will have access to cutting-edge technology and the opportunity for professional growth within a team of industry experts dedicated to making a real impact in financial security. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that values your contributions and encourages continuous learning.
