Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow and kubernetes
Python, go, and terraform proficiency
Cloud computing and distributed systems
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
Job Summary
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology.
You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
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
We build ML capabilities into our products, and you would be building part of the next generation of Workday technology.
Salary
Base: $168,000 - $252,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
MLOps platform using Kubeflow and Kubernetes
Python, Go, and Terraform proficiency
Cloud computing and distributed systems
Design and build scalable AI/ML platforms
Develop and deploy APIs/microservices
CI/CD workflows for ML components
Nice-to-have
Agentic AI systems familiarity
LangChain and LangSmith experience
Large-scale ML data pipelines
Databricks, Sagemaker, or Spark as a service
Proven leadership or mentoring experience
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
Experience with AWS and GCP
Experience developing microservices, APIs, and large-scale web applications