Principal Software Development Engineer, Mlops

Spa Mw

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
We’re shaping the future of work so teams can reach their potential and focus on what matters most while fostering a culture rooted in integrity, empathy, and shared enthusiasm

Job Summary

  • We’re shaping the future of work so teams can reach their potential and focus on what matters most while fostering a culture rooted in integrity, empathy, and shared enthusiasm.
  • As a Principal Software Engineer, you will build ML-powered features and infrastructure using modern MLOps, CloudOps, and data engineering stacks to deliver value that transforms user experience.
  • The role offers trust to take risks, tools to grow, and the support of a company invested in long-term employee development with flexible work arrangements.

Matching Summary

We’re shaping the future of work so teams can reach their potential and focus on what matters most while fostering a culture rooted in integrity, empathy, and shared enthusiasm.

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 pipelines

Nice-to-have

  • Leadership and mentoring experience
  • Familiarity with LangChain and LangSmith
  • Experience with large-scale ML data pipelines
  • Strong problem-solving and creative thinking
  • Empathy and collaborative culture
  • Flexible work schedule
  • Security and compliance best practices

Key Requirements

  • 6+ 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 Kubeflow and Kubernetes in production
  • Deep understanding of cloud infrastructure and distributed systems
  • Experience with AWS and GCP
  • Knowledge of agentic AI concepts

Work Rights

Not specified

Tailored Resume

Cover Letter