Primary can base pyy range: $168,000 - $252,000 ca...
Fully remote
Mlops platform using kubeflow and kubernetes
Python, go, and terraform proficiency
Cloud computing and distributed systems
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience
Job Summary
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.
Own and develop cloud-based services end-to-end, including infrastructure as code, and apply cloud engineering and security best practices.
Understand agentic AI systems; familiarity with LangChain and LangSmith is preferred.
Matching Summary
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.
Salary
Primary CAN Base Pay Range: $168,000 - $252,000 CAD; Additional CAN Location(s) Base Pay Range: $168,000 - $252,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants
Skills & Requirements
Must-have
MLOps platform using Kubeflow and Kubernetes
Python, Go, and Terraform proficiency
Cloud computing and distributed systems
Microservices and API development
CI/CD for ML components
Agentic AI systems familiarity
Nice-to-have
Sun-drenched optimism and drive
Courageous collaborators
Curious minds
Empathy and shared enthusiasm
Bold ideas and genuine care
Key Requirements
6 or more years of validated industry experience
Bachelor's and/or Master's degree in Computer Science or Computer Engineering
Proficiency with Python, Go, and infrastructure-as-code tools like Terraform
Experience with AWS and GCP
Experience running and maintaining Kubernetes clusters in production