Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow
Kubernetes and ml ecosystem tools
Python, go, and terraform proficiency
We are shaping the future of work so teams can reach their potential and focus on what matters most
Job Summary
We are shaping the future of work so teams can reach their potential and focus on what matters most.
You will be building part of the next generation of Workday technology, enabling machine learning across Workday’s product ecosystem.
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Matching Summary
We are shaping the future of work so teams can reach their potential and focus on what matters most.
Salary
Base: $168,000 - $252,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
MLOps platform using Kubeflow
Kubernetes and ML ecosystem tools
Python, Go, and Terraform proficiency
Cloud computing and distributed systems
Microservices and large-scale web applications
CI/CD workflows for ML components
Nice-to-have
Agentic AI systems familiarity
LangChain and LangSmith experience
Databricks, Sagemaker, or Spark experience
Leadership or mentoring experience
Sun-drenched optimism and drive
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
Deep understanding of cloud computing, cloud infrastructure, and distributed systems