Principal Platform Engineer, AI
Toronto, ONRAVL
Candidates need strong distributed systems and platform engineering experience, hands-on work with LLMs and GenAI, and deep Azure and cloud-native knowledge. They also need Kubernetes experience and strong backend skills in Python, TypeScript or Go.
Kubernetes, Azure, LangGraph
Platform Engineer, Machine Learning
Toronto, ONRAVL
Candidates need strong Databricks and Spark experience, experience building ML pipelines, and proficiency in Python. Cloud experience (Azure preferred) and familiarity with CI/CD and automation are also needed.
Databricks, Spark, Python, MLflow, Azure
Platform Engineer
Toronto, ONRAVL
Candidates need hands-on experience with at least one major cloud platform, infrastructure-as-code tools, CI/CD pipelines, containers and scripting. They also need a working understanding of networking, identity and security in the cloud, and clear communication skills.
Terraform, CloudFormation, Pulumi, Ansible, Docker, Kubernetes
AI Platform Engineer (Senior / Principal)
Toronto, ONRAVL
Candidates need deep GCP platform experience (GKE, IAM, Shared VPC, Terraform), Vertex AI MLOps depth, and strong Kubernetes, CI/CD and SRE practice. Senior candidates also need experience leading platform architecture and mentoring engineers, and knowledge of LLMs and secure AI services in regulated environments.
GKE, Terraform, Config Connector, Cloud Build, Cloud Deploy, Artifact Registry