Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow and kubernetes
Develop scalable ai/ml platforms
Design and build microservices and apis
We are shaping the future of work so teams can reach their potential and focus on what matters most
Job Summary
We are shaping the future of work so teams can reach their potential and focus on what matters most.
You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
We will 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 are shaping the future of work so teams can reach their potential and focus on what matters most.
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
Develop scalable AI/ML platforms
Design and build microservices and APIs
Proficiency with Python and Go
Infrastructure-as-code with Terraform
Cloud computing and distributed systems
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
Experience with AWS and GCP
Experience running and maintaining Kubernetes clusters
Familiarity with LangChain and LangSmith preferred