Souheil Yazji is a Cloud Native Engineer with eight years of experience building and leading cloud-native platforms for Statistics Canada and the Canadian government, specializing in Kubernetes, Kubeflow, and Azure-based MLOps. He blends hands-on engineering—writing custom Go controllers, optimizing Docker images, automating security scans, and managing JFrog/Terraform Helm workflows—with team and technical leadership to deliver multi-tenant analytics services at scale. Souheil’s background as a data engineer and database developer gives him practical fluency across data pipelines, Python/Pandas transformations, and CI/CD automation, enabling smooth migrations from legacy systems to modern, containerized workflows. He founded a small storytelling-focused media business, showing an uncommon creative streak alongside his technical expertise. Active in open source, he helps expose MLOps and data science tooling internally and externally through projects like StatCan/aaw, and he’s driven by applying software to produce measurable, real-world impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Carleton University
Implementing the OpenM++ microsimulation framework as a Kubernetes service on the StatCan cloud.
Contributions:4 reviews, 13 PRs, 14 pushes in 6 months
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