Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow and kubernetes
Python, go, and terraform proficiency
Cloud computing and distributed systems
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
Job Summary
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology.
You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
Matching Summary
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology.
Salary
Base: $168,000 - $252,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
MLOps platform using Kubeflow and Kubernetes
Python, Go, and Terraform proficiency
Cloud computing and distributed systems
Microservices and API development
CI/CD for ML components
Agentic AI systems familiarity
Nice-to-have
Sun-drenched optimism and drive
Courageous collaborators
Empathy and shared enthusiasm
Experience with Databricks, Sagemaker, or Spark
Leadership or mentoring experience
Key Requirements
6 or more years of validated industry experience
Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering
Experience running and maintaining Kubernetes clusters in production