Build DataVisor’s machine learning infrastructure with Java, Python, and scalable distributed systems expertise. This hands-on technical leadership work supports real-time fraud detection and training.
Within Platform Engineering, you will combine proprietary unsupervised machine learning technology with supervised algorithms. You will expand streaming and database systems, strengthen detection capabilities, and automate end-to-end training. The role also involves mentoring engineers, managing operational health, and evaluating AI-assisted tools for engineering workflows.

Key Responsibilities

Expand streaming and database systems for detection workloadsAutomate end-to-end training processes and pipelinesIdentify technical risks, dependencies, and delivery trade-offsMentor engineers in design, quality,



and executionImprove alert quality, incident follow-through, and root-cause preventionRequirements:
Eight-plus years developing software in production environmentsTwo-plus years leading technical outcomes across teamsStrong knowledge of computer systems, relational databases, and SQLExperience with multithreaded and concurrent applicationsHands-on Cassandra, Yugabyte, Flink, Spark, or Kafka experienceBring platform engineering leadership and distributed data expertise to DataVisor’s machine learning and real-time detection systems.
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📌 Staff Engineer Machine Learning Infrastructure (Winnipeg)
🏢 DataVisor
📍 Winnipeg