Security Professional

Role Overview: You are a strong Azure Cloud Security professional with experience in Azure security engineering, DevSecOps, Microsoft security technologies, secure application architecture, and compliance. You have broad exposure across Azure cloud components, security operations, governance, and modern cloud security practices. Key Responsibilities: - Behavioral AI, UEBA (User & Entity Behavior Analytics), and AI-driven threat detection awareness - Understanding of AI Guardrails, Responsible AI, and security/privacy considerations for AI-enabled cloud services and applications - Secure configuration and hardening across Azure infrastructure - Azure security monitoring and governance - Understanding of Security Development Lifecycle (SDL) - DevSecOps security integration and secure coding awareness - Container/Kubernetes security awareness - Behavior Analytics & AI-driven Threat Detection - Strong understanding of Azure development components and ability to perform security reviews and provide recommendations across: - Azure DevOps - Logic Apps - Function Apps - Web Apps / APIs - App Services - Storage Accounts - AKS / Containers - Serverless and PaaS services - Knowledge of AI-related security considerations and security assessment approaches - Vulnerability Assessment (VA), remediation tracking, and secure configuration review experience - Ability to assess cloud workloads for security gaps, compliance risks, and architecture weaknesses - Experience with secure monitoring, logging, and threat analytics across Azure environments Qualifications Required: - Preferred Certifications: Azure Solutions Architect, AZ-500, CISSP / CCSP Role Overview: You are a strong Azure Cloud Security professional with experience in Azure security engineering, DevSecOps, Microsoft security technologies, secure application architecture, and compliance. You have broad exposure across Azure cloud components, security operations, governance, and modern cloud security practices. Key Responsibilities: - Behavioral AI, UEBA (User & Entity Behavior Analytics), and AI-driven threat detection awareness - Understanding of AI Guardrails, Responsible AI, and security/privacy considerations for AI-enabled cloud services and applications - Secure configuration and hardening across Azure infrastructure - Azure security monitoring and governance - Understanding of Security Development Lifecycle (SDL) - DevSecOps security integration and secure coding awareness - Container/Kubernetes security awareness - Behavior Analytics & AI-driven Threat Detection - Strong understanding of Azure development components and ability to perform security reviews and provide recommendations across: - Azure DevOps - Logic Apps - Function Apps - Web Apps / APIs - App Services - Storage Accounts - AKS / Containers - Serverless and PaaS services - Knowledge of AI-related security considerations and security assessment approaches - Vulnerability Assessment (VA), remediation tracking, and secure configuration review experience - Ability to assess cloud workloads for security gaps, compliance risks, and architecture weaknesses - Experience with secure monitoring, logging, and threat analytics across Azure environments Qualifications Required: - Preferred Certifications: Azure Solutions Architect, AZ-500, CISSP / CCSP