Senior Software Engineer, Data Product
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Data Product based in Canada.
This is a high-impact engineering role focused on building and scaling the data and intelligence layer that powers modern e-commerce logistics decisions. You will design and operate backend systems that transform complex shipping and operational data into real-time predictions, recommendations, and configurable decision engines for customers. The role sits at the intersection of backend engineering, machine learning systems, and platform architecture, requiring both strong software craftsmanship and production ML experience. You will own services that serve model outputs at scale, ensuring reliability, low latency, and observability across critical customer-facing workflows. Working closely with data science and platform teams, you will help bridge experimentation and production, shaping how ML-powered features are delivered end-to-end. This is a senior technical position with significant ownership, influence over architecture, and responsibility for production-grade ML systems. You will also help define engineering standards and elevate how data products are built across the organization.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Data Product based in Canada.
This is a high-impact engineering role focused on building and scaling the data and intelligence layer that powers modern e-commerce logistics decisions. You will design and operate backend systems that transform complex shipping and operational data into real-time predictions, recommendations, and configurable decision engines for customers. The role sits at the intersection of backend engineering, machine learning systems, and platform architecture, requiring both strong software craftsmanship and production ML experience. You will own services that serve model outputs at scale, ensuring reliability, low latency, and observability across critical customer-facing workflows. Working closely with data science and platform teams, you will help bridge experimentation and production, shaping how ML-powered features are delivered end-to-end. This is a senior technical position with significant ownership, influence over architecture, and responsibility for production-grade ML systems. You will also help define engineering standards and elevate how data products are built across the organization.