Scientific Games Corporation

Hands-on DevOps Specialist responsible for building, automating, and operating secure, highly available platform infrastructure across on-premise, AWS, OpenShift, and Kubernetes environments. The role emphasizes Infrastructure as Code, CI/CD, observability, incident response, and reliable deployment operations.

Lead the end-to-end design, development, and delivery of browser-based games across global markets. This role sets technical direction, mentors engineers, and drives performance, quality, and architectural excellence.

Staff Machine Learning Engineer responsible for defining and building Scientific Games’ first self-service machine learning platform. The role will enable Data Scientists to independently deploy, experiment with, monitor, and safely release production ML systems.

Build the foundational machine learning platform that enables Data Scientists to deploy, monitor, and iterate on models independently across batch and real-time environments. This Toronto-based role focuses on reusable ML infrastructure, self-service tooling, deployment workflows, and observability.

Senior DevOps Engineer responsible for strengthening infrastructure, improving deployment reliability, and scaling secure, high-performing platforms. The role focuses on automation, Kubernetes, CI/CD, cloud environments, and observability across development and production.