Principal Software Development Engineer, Mlops

Workday

Toronto, ON, CA
Base: $168,000 - $252,000 cad; bonus/equity: eligi...
Fully remote
Mlops platform development
Python and go programming
Infrastructure as code with terraform
As a Principal Software Engineer, you will help develop ML-powered features and experiences across the HR & Talent product portfolio by building critical infrastructure and software frameworks

Job Summary

  • As a Principal Software Engineer, you will help develop ML-powered features and experiences across the HR & Talent product portfolio by building critical infrastructure and software frameworks.
  • The role offers the opportunity to work with modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of diverse ML capabilities.
  • Workday provides a flexible work approach combining in-person and remote work, with a culture rooted in integrity, empathy, and shared enthusiasm, supporting long-term growth and development.

Matching Summary

As a Principal Software Engineer, you will help develop ML-powered features and experiences across the HR & Talent product portfolio by building critical infrastructure and software frameworks.

Salary

Base: $168,000 - $252,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • MLOps platform development
  • Python and Go programming
  • Infrastructure as code with Terraform
  • Kubernetes cluster management
  • Cloud computing with AWS and GCP
  • Microservices and API development
  • Kubeflow for ML lifecycle management

Nice-to-have

  • Leadership and mentoring experience
  • Familiarity with LangChain and LangSmith
  • Strong collaboration with cross-functional teams
  • Empathy and integrity driven culture
  • Experience with monitoring and alerting systems
  • Knowledge of agentic AI concepts

Key Requirements

  • 6 or more years industry experience
  • Bachelor’s or Master’s in Computer Science or Engineering
  • Experience with scalable AI/ML platform design
  • Proficiency in Python, Go, and Terraform
  • Experience with Kubernetes in production
  • Deep understanding of cloud infrastructure
  • Experience developing microservices and APIs

Work Rights

Not specified

Tailored Resume

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