Principal Software Development Engineer, Mlops

Workday

Toronto, ON, Canada
Base: $168,000 - $252,000 cad; bonus/equity: eligi...
Fully remote
Kubeflow, kubernetes, and ml ecosystem tools
Python, go, and infrastructure-as-code tools
Cloud-based services end-to-end development
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’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: 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-based services end-to-end development
  • Design and build software solutions for data
  • Cloud engineering and security best practices
  • Monitor service & ML health systems and dashboards
  • Agentic AI systems, LangChain and LangSmith

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Empathy and shared enthusiasm
  • Continuous improvement of DevOps practices
  • Mentoring experience

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
  • Deep understanding of cloud computing and distributed systems
  • Experience with AWS and GCP
  • Experience developing microservices and APIs
  • Experience running and maintaining Kubernetes clusters

Work Rights

Not specified

Tailored Resume

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