Overview
As a Security Manager, you'll lead the implementation and oversight of robust security measures for our AI platform, emphasizing trends in Azure hybrid security such as AI-driven threat detection, Zero Trust architecture, quantum-resistant encryption, and cloud-native tools. This role focuses on safeguarding sovereign data in hybrid environments, ensuring seamless integration with future GCP / AWS expansions via GitHub-managed Terraform / Bicep IaC.
Key Responsibilities
- Develop and enforce security policies aligned with ISO 27001, incorporating Zero Trust models for continuous verification across Azure Sovereign, on-prem Kubernetes, and hybrid setups.
- Implement AI-powered threat detection and automated response systems (e.g., using Azure Sentinel or similar) to monitor model drift, adversarial attacks, and vulnerabilities in agentic AI workflows.
- Oversee quantum-resistant encryption and advanced cryptographic strategies to protect data at rest / transit, addressing emerging threats in multi-cloud expansions (GCP / AWS).
- Lead cloud-native security integrations, including SASE (Secure Access Service Edge) and CASB (Cloud Access Security Broker) for edge computing and hybrid access control.
- Conduct regular VAPT / CPX assessments, risk mitigations, and compliance audits for self-hosted tools (e.g., Dify.ai air-gapped deployments) and AI-specific risks like data poisoning.
- Collaborate on DevSecAI Ops : Integrate OPA for policy-as-code, Falco / Wiz for runtime security, and Snyk for vulnerability scanning in GitHub Actions pipelines.
- Optimize for FinOps security : Implement fine-grained access controls and cost-aware monitoring to prevent unauthorized usage in scalable, 24 / 7 operations.
- Mentor teams on hybrid security best practices, supporting vendor transitions and automated incident response.
Required Qualifications
Bachelor's / Master's in Cybersecurity, Information Security, or related field.7+ years in security management, with 3+ in Azure / hybrid cloud environments.Expertise in Azure security tools (e.g., Defender for Cloud, Sentinel) and hybrid architectures (AKS, on-prem K8s).Proficiency in IaC (Terraform / Bicep), CI / CD (GitHub Actions), and compliance frameworks (ISO 27001).Hands-on with security automation (e.g., OPA, Falco) and threat modeling for AI / ML systems.Strong leadership in agile teams, including risk assessments and vendor management.Preferred Skills
Familiarity with Azure trends : AI / ML security (e.g., protecting against adversarial inputs), SASE / CASB for hybrid access, and quantum-safe cryptography.Experience with self-hosted AI platforms (e.g., Dify.ai) and tools like Snyk / Wiz for DevSecOps.Certifications : CISSP, AZ-500, CISM, or equivalent; knowledge of UAE / GCC data residency regulations.Seniority level
Mid-Senior levelEmployment type
ContractJob function
Information TechnologyIndustries
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