Summary
✨ AI‑Generated
A cloud engineering role focused on designing, deploying, and supporting enterprise cloud environments. The position requires strong experience with cloud platforms, infrastructure automation, networking, identity management, and troubleshooting complex distributed systems.
Highlights
Opportunity to work on large-scale cloud infrastructure involving Azure services, automation, security, and modern infrastructure-as-code practices.
Description
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.
