Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow, kubernetes
Python, go, terraform proficiency
Cloud computing and infrastructure
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 work closely with ML engineers and other software teams to deliver critically important infrastructure and software frameworks that enable 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, annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
MLOps platform using Kubeflow, Kubernetes
Python, Go, Terraform proficiency
Cloud computing and infrastructure
Design and build scalable AI/ML platforms
Develop ML-powered features and experiences
Microservices and API development
Nice-to-have
Agentic AI systems familiarity
Curious minds and courageous collaborators
Sun-drenched optimism and drive
Empathy and shared enthusiasm
LangChain and LangSmith experience
Key Requirements
6 or more years of validated industry experience
Bachelor's and/or Master's degree in Computer Science or Computer Engineering
Proficiency with Python, Go, and infrastructure-as-code tools like Terraform
Experience with AWS and GCP
Experience running and maintaining Kubernetes clusters in production