About the Role
Join Workday as a Principal Software Engineer focusing on MLOps in Toronto, Canada. Your role involves designing scalable AI solutions that push the boundaries of ML technology.
As a pivotal member of the MLOps team, you will lead the architecture of distributed systems, developing microservices that underpin Workday's advanced AI capabilities. This role requires proficiency with Kubernetes, Terraform, and integrating cloud infrastructure to create efficient, reliable systems geared for scalability and compliance.
Key Responsibilities: • Design high-throughput distributed systems and microservices • Optimize ML development experiences using Kubernetes and Kubeflow • Manage cloud service lifecycles with Infrastructure as Code • Drive quality assurance in architecture and code through reviews • Innovate with new infrastructure tools for enterprise scale
Requirements: • Minimum 6 years of software engineering experience • Degree in Computer Science or a related ...
As a pivotal member of the MLOps team, you will lead the architecture of distributed systems, developing microservices that underpin Workday's advanced AI capabilities. This role requires proficiency with Kubernetes, Terraform, and integrating cloud infrastructure to create efficient, reliable systems geared for scalability and compliance.
Key Responsibilities: • Design high-throughput distributed systems and microservices • Optimize ML development experiences using Kubernetes and Kubeflow • Manage cloud service lifecycles with Infrastructure as Code • Drive quality assurance in architecture and code through reviews • Innovate with new infrastructure tools for enterprise scale
Requirements: • Minimum 6 years of software engineering experience • Degree in Computer Science or a related ...
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