AI and Cloud Security Engineer
Tasks
- Conduct vulnerability management and risk remediation guidance
- Configure AI security policies
- Design AI security runtime controls
- Develop AI interaction security solutions
- Embed security into DevSecOps workflows
- Engineer cloud security controls Azure AWS and GCP
- Evaluate and integrate AI security technologies
- Implement zero trust cloud architectures
- Improve security defenses through tuning
- Lead escalation for AI security incidents
- Perform incident investigations and root cause analysis
- Support automated containment strategies
Perks/Benefits
- Access to training and online learning resources
- Flexible remote work
- Inclusive workplace culture
- Professional development opportunities
- Training and career growth programs
- Well-being initiatives
Skills/Tech-stack
AI Red Team | AI guardrails | AI-SPM | AIDR | AWS | Access Management | Agent security | Azure | CI/CD | CNAPP | CSPM | CWPP | Cloud Identity | Cloud Identity Management | Container Security | Data masking | DevSecOps | GCP | Identity Management | Infrastructure as Code | Injection prevention | Jailbreak Protection | KQL | Kubernetes | Log Ingestion | Model Security | PII Detection | Posture Management | Powershell | Privileged Access | Privileged Access Management | Prompt injection | Prompt injection prevention | Python | RAG Poisoning | RAG Security | Red team | SIEM | SIEM log ingestion | SOAR | Secrets management | Security Posture | Security posture management | Terraform | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Cybersecurity | Bachelor of Science in Information Systems
Roles
AI | AI Security Engineer | Cloud Security Engineer | Cloud) | Engineer | Security Engineer
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