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Senior Platform Engineer with experience in managing Azure platforms/infrastructure and cloud automation tools for a large Insurance client.

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

Senior Platform Engineer with experience in managing Azure platforms/infrastructure and cloud automation tools for a large Insurance client.


Duration:

Full-Time (Contract to Permanent after 900 hours - Roughly 6-Months)


Location:

Hybrid (3 days in office - Toronto, ON)


Responsibilities:

  • Support with the design, build, and maintenance of cloud-based platform infrastructure systems like Azure.
  • Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design.
  • Manage Azure AD groups, access provisioning, and identity management.
  • Manage all cloud environments in accordance with company security guidelines.
  • Participate in a 24/7 On-Call rotation to address and resolve technical escalations.
  • Set up CI/CD pipelines in both On-Prem and Azure cloud platforms.
  • Troubleshoot issues with Azure DNS, connectivity, NSG, and routing.
  • Work with Azure SDK and leverage Azure PaaS, SaaS, and IaaS offerings.
  • Contribute to the management and integration of tools like Splunk and Control M.


Must Have Requirements:

  • Eligible or possess Protected - B Security Clearance
  • 5+ years of experience in Azure platform management and infrastructure deployment
  • Proficient in Azure technologies: Data Lake Gen 2, Storage Accounts, Event Hub, Kubernetes, Pipelines, Databricks, Data Factory, Function App
  • Experience with cloud infrastructure automation tools: Terraform, Ansible, ARM Template, Bicep
  • Strong experience with Azure monitoring and management tools: Azure Monitor, Azure SDK
  • Knowledge of Azure Security best practices, including subnet management, DNS, NSG, routing


Nice to Have:

  • Degree in Computer Science or equivalent training
  • Knowledge of Splunk and Control M tools integration and support
  • Familiarity with Azure PaaS, SaaS, and IaaS offerings
  • Generative AI and Machine Learning
  • Python Programming
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