Design and implement end-to-end security architectures for cloud-native, hybrid, and on-prem environments. Embed security into every layer—from infrastructure to AI-driven applications
Develop robust security strategies for multi-cloud and hybrid infrastructures. Leverage native tools and encryption to ensure seamless protection across platforms
Integrate AI and machine learning into threat detection, anomaly analysis, and automated response. Collaborate with data and AI teams to ensure secure AI development and deployment
Build and manage Identity and Access Management (IAM) frameworks, including SSO, MFA, RBAC, and identity federation. Ensure secure and compliant access across all systems
Conduct in-depth risk assessments and implement mitigation strategies tailored to evolving threats in cloud and AI environments
Lead incident response efforts using AI-enhanced monitoring and automation. Streamline detection, investigation, and resolution workflows
Maintain alignment with global standards and regulations (GDPR, ISO 27001, HIPAA, PCI-DSS). Support audits and drive continuous compliance
Work cross-functionally with engineering, DevOps, IT, and data science teams. Share knowledge and promote a culture of security-first thinking
requirements-expected :
Degree in Computer Science, Information Security, or related field (Master’s a plus)
4+ years of experience in cybersecurity, with a focus on cloud and hybrid environments
Hands-on experience with AWS, Azure, and Google Cloud
Deep understanding of cloud security frameworks (NIST, CSA CCM, CIS)
Proven track record with AI-based security tools and machine learning for threat detection
Strong background in IAM technologies (e.g., SailPoint, Azure Entra, AWS IAM)
Familiarity with DevSecOps, containerization, and serverless architectures
Experience with SIEM/SOAR platforms and security automation
Preferred certifications: CISSP, CCSP, CISM, CIAM
Excellent communication skills and the ability to explain complex security concepts clearly
Experience in multi-cloud, hybrid, and on-prem environments
Knowledge of AI security, anomaly detection, and data governance is a plus
