Principal Software Development Engineer, Mlops

Workday

Toronto, Ontario, Canada
Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Kubeflow, kubernetes, and ml ecosystem tools
Python, go, and infrastructure-as-code tools
Cloud computing, cloud infrastructure, 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.
  • As a Principal Software Engineer you will help develop ML-powered features and experiences for every user across our HR & Talent product portfolio.
  • We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people.

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

  • Kubeflow, Kubernetes, and ML ecosystem tools
  • Python, Go, and infrastructure-as-code tools
  • Cloud computing, cloud infrastructure, and distributed systems
  • Microservices, APIs, and large-scale web applications
  • Kubernetes clusters in production
  • Agentic AI concepts

Nice-to-have

  • Sun-drenched optimism and drive
  • Courageous collaborators
  • Curious minds
  • LangChain and LangSmith familiarity
  • Experience with Databricks, Sagemaker, or Spark

Key Requirements

  • 6 or more years of validated industry experience
  • Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering
  • Strong software engineering experience with AI/ML platforms
  • Proficiency with Python, Go, and Terraform
  • Deep understanding of cloud computing and distributed systems
  • Experience with AWS and GCP
  • Experience running and maintaining Kubernetes clusters

Work Rights

Not specified

Tailored Resume

Cover Letter