Cloud Engineer

Location: 8-16/month, Toronto Length: 12 months + likely extensions Rate: 55-75hr Why Open: Expected vacancy DAY-TO-DAY - Deploy, configure, and support Azure Databricks workspaces, including Unity Catalog, cluster configuration, user provisioning, and access management. - Build, maintain, and troubleshoot Terraform infrastructure-as-code for Azure and Databricks environments. - Configure and support Azure networking components, including VNets, subnets, CIDR planning, peering, and firewall rules. - Manage Azure identity and access controls, including AD Groups, Service Principals, App Registrations, and RBAC permissions. - Diagnose and resolve issues across Terraform, Databricks, Azure networking, and platform integrations, utilizing AI-assisted development and troubleshooting tools where appropriate. MUST-HAVES QUALIFICATIONS 1. Azure Databricks Administration - Hands-on experience deploying and managing Databricks workspaces. - Strong knowledge of Unity Catalog, cluster configuration, workspace governance, and SCIM/Active Directory integrations. 2. Terraform Development - Experience writing reusable Terraform modules. - Strong understanding of state management, provider configuration, and troubleshooting Terraform deployment errors across Azure and Databricks. 3. Azure Infrastructure & Networking - Experience designing and supporting VNets, subnets, CIDR allocation, VNet peering, and firewall/network security configurations. 4. Azure IAM & Security) - Hands-on experience with Azure AD Groups, Service Principals, App Registrations, RBAC, and access governance. 5. Troubleshooting & Platform Support - Strong root-cause analysis and debugging skills across cloud infrastructure, networking, and platform integrations. - Experience using AI-assisted tools to accelerate troubleshooting and development workflows. PLUSES - Prior experience working within RBC environments. - Familiarity with CorePipeline, Fireflow, MPP, or other RBC internal tooling. - Experience supporting enterprise-scale data platform deployments. - Exposure to CI/CD pipelines and DevOps automation within Azure environments. - Databricks, Azure, or Terraform certifications. We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.