Senior / Software Engineer - Ai Platform

Workday

Toronto, ON, Canada
Base: $140,000 cad - $210,000 cad; bonus/equity: m...
Fully remote
Kubernetes at scale
Infrastructure as code (iac)
Gitops & continuous deployment
As a member of the Workday AI Infrastructure and Operations team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday AI features in production

Job Summary

  • As a member of the Workday AI Infrastructure and Operations team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday AI features in production.
  • You will lead high-impact infrastructure initiatives, working with public clouds and applying capacity management principles to build systems that allow developers to streamline their interactions with the AI platform.
  • 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

As a member of the Workday AI Infrastructure and Operations team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday AI features in production.

Salary

Base: $140,000 CAD - $210,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, and annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Kubernetes at Scale
  • Infrastructure as Code (IaC)
  • GitOps & Continuous Deployment
  • Production Coding in Python
  • Distributed Systems Architecture
  • CI/CD Pipeline Orchestration

Nice-to-have

  • Observability tools like Grafana
  • Mentorship and team collaboration
  • Public cloud experience (AWS, GCP)

Key Requirements

  • 7+ years software engineering or DevOps experience
  • 4+ years Kubernetes production management
  • 4+ years Terraform experience
  • 2+ years ArgoCD experience
  • 4+ years Python programming experience
  • Proven track record of architecting distributed systems
  • BS/MS in Computer Science or related field

Work Rights

Not specified

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