Senior Azure Cloud Platform Engineer

Our client is a top financial institution with significant North American holdings.  They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.
 
Introduction:
Robertson is seeking a skilled Senior Azure Cloud Platform Engineer to join our client in support of an existing vacancy.

Contract Period: 6 months
Pay Rate: Starting form $42 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
 
Job Responsibilities:

• Design, deploy, and maintain Azure cloud infrastructure and data platform services
• Build and manage CI/CD pipelines using GitHub Actions/Jenkins
• Develop and maintain infrastructure as code using Terraform
• Support and optimize Power BI platform environments
• Collaborate with data engineering teams on scalable, cost-effective architectures
• Troubleshoot platform issues and provide operational support

• 5+ years of hands-on Azure cloud engineering experience
• Proficiency in core Azure services: Azure Data Factory, Azure Databricks, Azure Functions, API Management
• Strong Azure networking knowledge (VNets, Private Endpoints, NSGs, DNS)
• Hands-on Terraform experience for IaC
• Jenkins, GitHub & GitHub Actions for source control and CI/CD
• Power BI platform administration and deployment experience
• Data engineering fundamentals (pipelines, data lakes, ingestion patterns)
• Azure certifications (e.g., AZ-104, AZ-305, DP-203)
• Experience with Azure Monitor, Log Analytics, and cost governance
• Familiarity with Git Hub Actions and Azure DevOps

How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.