Principal Software Development Engineer, Mlops

Workday

Toronto, ON, Canada
Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow and kubernetes
Python and go proficiency
Terraform for infrastructure as code
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience

Job Summary

  • Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.
  • Own and develop cloud-based services end-to-end, including infrastructure as code, applying cloud engineering and security best practices.
  • Work with multi-functional teams to deliver scalable, secure, and reliable solutions, enabling machine learning across Workday’s product ecosystem.

Matching Summary

Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.

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 and Go proficiency
  • Terraform for infrastructure as code
  • Cloud computing (AWS, GCP)
  • Microservices and API development
  • CI/CD for ML components

Nice-to-have

  • Agentic AI systems
  • LangChain and LangSmith familiarity
  • Databricks, Sagemaker, or Spark experience
  • Mentoring experience

Key Requirements

  • 6+ years of validated industry experience
  • Bachelor's/Master's in Computer Science or Computer Engineering
  • Experience running and maintaining Kubernetes clusters
  • Experience with large-scale ML data pipelines

Work Rights

Not specified

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