Senior Azure Platform Engineer

Epsilon Solutions Ltd.; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Epsilon Solutions Ltd. is seeking a Senior, hands-on Azure Platform Engineer in Toronto to own platform engineering across Azure Databricks, Azure Data Factory, and related tooling.

You will troubleshoot complex platform issues and guide junior team members, acting as a bridge between the senior architect and junior engineers. The role requires deep hands-on expertise in Terraform, GitHub Actions, Jenkins, and Azure networking, with focus on storage provisioning, access controls, and disaster

Qualifications

• Strong hands-on experience with Terraform for Azure resources deployment.
• Hands-on experience with GitHub Actions and Jenkins for CI/CD and automated deployments.
• Expertise with Azure Databricks clusters, workflows, deployments and platform troubleshooting.
• Deep knowledge of Azure Data Factory pipelines and Linked Services.

Responsibilities

• Operate independently to troubleshoot complex platform issues.
• Guide junior members within the customer squad and bridge gap between senior architect and junior engineers.
• Explain troubleshooting approaches, identify root causes, and describe resolutions.

Skills

Terraform

GitHub Actions

Jenkins

Azure Databricks

Azure Data Factory

Storage Accounts

Networking

Access provisioning

Disaster Recovery

Platform troubleshooting

Tools

Terraform Modules

CI/CD

Job description

The customer is looking for a Senior, hands-on Azure Platform Engineer with strong platform expertise across Azure Databricks, Azure Data Factory, Terraform, GitHub Actions, networking, access management, and platform troubleshooting.

The candidate should be capable of operating independently, troubleshooting complex platform issues, and guiding junior members within the customer squad, effectively bridging the technical gap between the customer's senior architect and junior engineers.

2. Mandatory Technical Skills

Candidates should demonstrate strong hands-on experience in:

• Terraform, including modules and deployment of Azure resources
• GitHub Actions and Jenkins for CI/CD and automated deployments
• Azure Databricks (ADB), including clusters, workflows, deployments and platform troubleshooting
• Azure Data Factory (ADF), including pipelines and Linked Services
• Deployment/provisioning of Storage Accounts, ADF and ADB
• Azure networking and connectivity troubleshooting
• Access provisioning, permissions and authorization-related troubleshooting
• Disaster Recovery, particularly scenarios involving Azure Databricks or other core platform services

3. Troubleshooting Capability Expected

The candidate should be able to explain how they would diagnose and resolve real platform issues, for example:

• Connectivity failures between Azure Storage Accounts and Azure Data Factory
• Identifying missing or failing network/security rules
• Access and permission-related problems
• Recovery approach when Azure Databricks or other critical platform components become unavailable

The expectation is not simply to identify an issue, but to explain the troubleshooting approach, identify the root cause, and describe how the issue was resolved.