Security Specialist

CAN - IT - Security Specialist IV Location: Toronto, ON Onsite Flexibility: Hybrid — 2 days on-site, 3 days work from home (with potential to move to 4 days in office); anchor days are Wednesday and Friday Contract Details Position Type: Contract Contract Duration: 4 months (with possibility of extension and conversion based on business needs and performance) Pay Rate: C$70.00–C$85.00 / Hour (CAD) Shift / Schedule: Monday–Friday, core business hours — 37.5 hours per week, 7.5 hours per day; no overtime; no rotation Travel Requirements: Not required Job Summary We are looking for a detail-oriented Cloud Security and AI Test Engineer to join our team. This individual will focus on automating and validating Compliance-as-Code (CaC) policies across multi-cloud environments including GCP, Azure, and AWS. In this role you will blend your expertise in cloud security with advanced AI tools to enhance compliance, security, and test automation, ensuring continuous validation within multi-cloud environments. Key Responsibilities Automated Testing for Cloud Policies Design, develop, implement, and maintain AI-driven automated test frameworks for the behavior of existing compliance-as-a-code policy across cloud environments (GCP/AWS/Azure) in alignment with banking regulations Implement AI-driven test environments using Azure Foundry and Azure ML to create realistic, mock cloud setups, including network and IAM configurations to simulate and test policies effectively Utilize Azure AI Search, Azure OpenAI, and Azure Machine Learning to build intelligent validation routines that can predict policy compliance issues and recommend remediation steps Develop comprehensive positive, negative, and edge exception test cases to validate policy enforcement logic Maintain a test suite library and ensure traceability between compliance requirements, validation cases, and artifacts Collaborate with CaC policy developers, security architects, and Cloud Service Owners to understand intended behavior and failure conditions Continuous Testing & CI/CD Integration Integrate AI-assisted compliance validation into CI/CD pipelines, GitHub Actions, and GitHub Workflows using GitHub Copilot for scripting efficiencies and M365 Copilot Studio for creating streamlined policy validation templates Automate security scanning and validation of Terraform deployments with Python Validate the enforcement of banking cloud security policies by embedding automated compliance checks into DevSecOps workflows and actions Cloud Security and Regulatory Compliance Enforcement Work closely with security, DevSecOps teams, and Cloud Compliance governance teams to define and enforce cloud security controls in accordance with regulatory mandates Validate cloud resource configurations against financial industry standards (NIST, ISO 27001, SOC 2) Reporting & Audit Readiness Implement/test logging and monitoring solutions to detect compliance violations in real time Automate/validate the generation of compliance reports and dashboards using tools like SonarQube, Wiz.IO, Splunk, Dynatrace, and AppOmni Ensure that all TD Standards & STIG requirements for IaaS, PaaS, SaaS CaC development, and testing activities are traceable and auditable for internal risk assessments and external regulatory audits Required Skills 8 years in Cloud Security, DevSecOps, AI, or Cloud Engineering roles 3 years of Technical Lead experience Strong knowledge of GCP, Azure, and AWS Jira and Confluence experience Proficient in Python CI/CD pipelines Proficient in Terraform Strong communication skills (written and verbal) Strong interpersonal skills Self-motivated, well organized, able to work both independently and in a team environment Attention to detail; self-starter and adaptable Preferred Skills Cloud or DevSecOps engineering certifications Experience with container security and Kubernetes policy enforcement Hands-on experience with HashiCorp Sentinel, Azure Policy, Wiz Policy, GCP Org Policy, and Open Policy Agent, Kubernetes Cloud infrastructure as code — experience with Helm, ARM, JSON, YAML, REGO Prior banking or financial institution experience Education Requirements Degree or Diploma required; Master's or PhD preferred Cloud or DevSecOps engineering certification is an asset Required Experience Minimum 8 years of experience in Cloud Security, DevSecOps, AI, or Cloud Engineering roles Minimum 3 years of Technical Lead experience Important Notes Candidates must be available for an in-person interview if selected for the second round. Inability to attend in person is a hard disqualifier — do not apply if you cannot attend an in-person interview. The interview process consists of 2 steps: a virtual interview followed by a 1-hour in-person technical interview. About the Client This client is one of North America's largest financial services institutions and the sixth-largest bank on the continent by branches, serving approximately 22 million customers across Canada, the United States, Europe, and the Asia-Pacific region. Headquartered in Toronto, Ontario, it operates a full-service financial platform spanning personal and commercial banking, wealth management, insurance, and payment solutions, delivered through a team of over 85,000 employees worldwide. Teams here span retail banking advisors, commercial lenders, wealth management professionals, risk analysts, and technology specialists — including roles in cloud security, DevSecOps, and AI engineering — making it an exceptional environment for professionals seeking a globally respected organization with a genuine focus on inclusion and career development. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number: 26-08309 #gttca

Design and implement AI-driven automated test frameworks to validate Compliance-as-Code policies across GCP, Azure, and AWS environments. Integrate security scanning and compliance checks into DevSecOps workflows to ensure adherence to banking regulations and industry standards.

Requires at least 8 years of experience in Cloud Security, DevSecOps, or AI, including 3 years in a Technical Lead role. A degree or diploma is required, with proficiency in Python, Terraform, and multi-cloud platforms.

• Microsoft AzurePreferred
• KubernetesPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Cloud Security
• DevSecOps
• AI
• GCP
• Azure
• AWS
• Python
• Terraform
• CI/CD Pipelines
• Compliance-as-Code
• Azure OpenAI
• GitHub Actions
• Kubernetes
• Network and IAM Configuration
• Technical Leadership
• Regulatory Compliance

• Technology
• Security & Safety
• Software
• Engineering
• Finance & Accounting

Minimum education

Bachelor’s degree

Minimum experience

10+ years

Apply by

Sep 12, 2026

Posting language

English

Working hours

38 hours per week

Office presence

2 days per week

Seniority

Entry level

Application method

Direct apply is available