Description

Design and secure cloud-native architectures while integrating Generative AI and ML capabilities into security operations. You will own the end-to-end security posture across AWS, Azure, and Google Cloud, focusing on automation, threat detection, and data protection.

Responsibilities

• Design and implement secure cloud architectures across AWS, Azure, and Google Cloud platforms.
• Integrate security controls into the SDLC and automate DevSecOps workflows within CI/CD pipelines.
• Leverage Generative AI and ML models to enhance threat detection, anomaly detection, and predictive risk analysis.
• Develop and manage data protection strategies, including encryption, tokenization, masking, and key management.
• Lead vulnerability management, incident response, and security risk assessments for leadership.

Required Skills

• 6+ years of experience in Security Engineering or Cybersecurity roles.
• Strong hands-on expertise in Cloud Security across AWS, Azure, or GCP.
• Proven experience implementing AI/ML-driven security tools and automation frameworks.
• Deep understanding of Network Security, Zero Trust architecture, and perimeter defense.
• Experience securing containerized and microservices-based environments.
• Strong background in Vulnerability Management, Threat Modeling, and Incident Response.
• Knowledge of compliance frameworks such as ISO 27001, SOC 2, or NIST.
• Proficiency in Security Engineering, Cyber Security, Information Security, and Data Security.

Key Skills

Education

Any Graduate