Cloud Platform Engineer governing AWS and GCP infrastructure for Supabase’s open - source developer platform. Building secure IaC, self - service tooling, and operational primitives for distributed engineering teams.
About the role
- Senior AI Cloud Security Engineer at Manulife focusing on security controls in cloud and AI environments. Building secure systems and protecting enterprise AI initiatives while collaborating with multiple teams.
Responsibilities
- Designing, implementing, and automating security controls across cloud and AI environments, ensuring secure-by-default architecture, continuous compliance, and protection against evolving threats
- Implement and operate AI Security Posture Management (AI SPM) solutions, including Cloud security posture management to continuously assess, detect, and remediate risks across AI and cloud environments
- Secure AI and Generative AI workloads, including model pipelines, training data, inference APIs, and LLM integrations against threats such as prompt injection, data leakage, model abuse, and adversarial attacks
- Design and implement AI SPM controls to provide visibility into AI assets, monitor model usage and access patterns, enforce security guardrails, and manage AI risks across the full lifecycle
- Embed security into CI/CD and MLOps pipelines (DevSecOps) using automated controls such as SAST/DAST, IaC scanning, secrets detection, and compliance enforcement gates
- Develop and maintain security policies and policy-as-code frameworks (e.g., Azure Policy) to enforce governance, regulatory compliance, and responsible AI usage
- Engineer monitoring, detection, and response capabilities for cloud and AI systems, integrating telemetry with SIEM/SOAR platforms for centralized visibility and automated response
- Perform security testing and validation across cloud, application, API, and AI layers, including AI-specific scenarios such as prompt injection and model misuse prior to production deployment
- Automate security operations through scripting and tooling (e.g., Python, PowerShell) to improve efficiency, scalability, and consistency of controls
- Conduct risk assessments, threat modeling, and security reviews for cloud infrastructure and AI systems to identify vulnerabilities and implement mitigation strategies
- Collaborate with AI teams and security stakeholders to drive secure-by-design architectures and enable scalable, governed AI adoption
Requirements
- Minimum 7-8 years IT industry experience
- Minimum 5+ years of experience in cloud and security engineering, with strong hands-on expertise in Azure or similar cloud platforms
- Required experience in AI Security and AI SPM, including securing AI and Generative AI systems and managing risks such as prompt injection, data leakage, and model abuse
- Proven experience with CSPM, CWP, and IaC and implementing secure cloud architectures
- Strong understanding of DevSecOps practices, including CI/CD security, SAST/DAST, IaC scanning, and automation (Python/PowerShell)
- Experience developing and enforcing security policies and policy-as-code frameworks aligned with standards like NIST, ISO, and CIS
- Knowledge of security monitoring, SIEM/SOAR, and incident response for cloud and AI environments
- Experience with security testing, threat modeling, and risk assessments
- Strong collaboration and communication skills, with the ability to work across cloud, AI, and security teams
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
- financial education and counseling resources
- generous paid time off program in Canada (including holidays, vacation, personal, and sick days)
- full range of statutory leaves of absence
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