Principal Software Development Engineer, Mlops

Txapa

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 for every user across the HR & Talent product portfolio

Job Summary

  • As a Principal Software Engineer, you will help develop ML-powered features and experiences for every user across the HR & Talent product portfolio.
  • You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
  • Workday offers a flexible work approach combining in-person and remote time, providing trust, tools, and support for long-term growth.

Matching Summary

As a Principal Software Engineer, you will help develop ML-powered features and experiences for every user across the HR & Talent product portfolio.

Salary

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

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
  • Experience with Databricks, Sagemaker, or Spark
  • Strong problem-solving and creative thinking
  • Empathy and collaborative culture
  • Flexible work environment
  • Continuous improvement mindset

Key Requirements

  • 6+ years industry experience
  • Bachelor’s or Master’s in Computer Science or Engineering
  • Experience with scalable AI/ML platforms
  • Proficiency in Python, Go, Terraform
  • Deep knowledge of cloud infrastructure and distributed systems
  • Experience with Kubernetes in production
  • Understanding of agentic AI concepts
  • Experience with CI/CD workflows
  • Security and compliance best practices

Work Rights

Not specified

Tailored Resume

Cover Letter