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.
We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last.
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 large-scale web applications
CI/CD workflows for ML components
Agentic AI systems, LangChain and LangSmith
Nice-to-have
Curious minds and courageous collaborators
Sun-drenched optimism and drive
Empathy and shared enthusiasm
Mentoring experience
Familiarity with Databricks, Sagemaker, or Spark
Key Requirements
6 or more years of validated industry experience
Bachelor's and/or Master's degree in Computer Science or Computer Engineering
Experience running and maintaining Kubernetes clusters in production
Deep understanding of cloud computing, cloud infrastructure, and distributed systems