This role ensures the security and integrity of cloud, on-premises, hybrid, and AI-enabled environments across their full lifecycle
Job Summary
This role ensures the security and integrity of cloud, on-premises, hybrid, and AI-enabled environments across their full lifecycle.
The engineer will support secure design and deployment of AI solutions while integrating robust security monitoring into CI/CD pipelines.
Candidates must possess a strong understanding of AI/ML security risks and best practices to translate research insights into actionable recommendations.
Matching Summary
Match Score: 85
This role ensures the security and integrity of cloud, on-premises, hybrid, and AI-enabled environments across their full lifecycle.
Skills & Requirements
Must-have
AI and Cloud Systems security
Network segmentation and IAM
Infrastructure-as-code security
Threat modelling and risk assessment
Cloud environment hardening
Nice-to-have
Strong stakeholder engagement skills
Proactive risk identification mindset
Inclusive technology practices commitment
Key Requirements
Degree in AI/ML, Computer Science, or Information Security
At least 3 years of experience in cybersecurity or security architecture