Job Description

Location: Toronto, Ontario (Hybrid: 2+ days on site)

Duration: 4 months (Possibility of extension/conversion depending upon performance and business needs)

Schedule: M-F, 37.5 hours per week (7.5 hours per day)


Job Description:

The client is seeking a detail-oriented Cloud Security and AI Test Engineer to join their team. This individual will focus on automating and validating Compliance-as-Code (CaC) policies across multi-cloud environments (GCP, Azure, and AWS). The role blends expertise in cloud security with advanced AI tools to enhance compliance, security, and test automation, ensuring continuous validation within multi-cloud environments.

Responsibilities:

  • Design, develop, and maintain AI-driven automated test frameworks for Compliance-as-Code policies across GCP, AWS, and Azure.
  • Implement AI-driven test environments using Azure Foundry and Azure ML to simulate network...

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