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, 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 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 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 large-scale web applications
  • Kubernetes production cluster experience
  • Agentic AI concepts and tools

Nice-to-have

  • Sun-drenched optimism and drive
  • Courageous collaborators
  • Curious minds
  • Empathy and shared enthusiasm
  • Familiarity 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
  • Proficiency with Python, Go, and infrastructure-as-code tools like Terraform
  • Deep understanding of cloud computing, cloud infrastructure, and distributed systems; experience with AWS and GCP
  • Experience running and maintaining Kubernetes clusters in production
  • Understanding of agentic AI concepts; experience with LangChain and LangSmith is preferred

Work Rights

Not specified

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