AI and Cloud Security Engineer
Tasks
- Apply least privilege identity and access controls
- Build AI runtime control plane
- Connect model security and supply chain telemetry to SIEM
- Design secure multi cloud patterns
- Evaluate and pilot AI security vendors
- Harden AI gateway layer for resilience
- Harden CI/CD pipelines
- Implement PII detection and redaction
- Implement cloud security posture policies
- Implement prompt injection and jailbreak prevention
- Implement secrets management
- Implement zero trust agent access
- Integrate AI asset context into enforcement decisions
- Integrate inline enforcement pipeline
- Lead automated containment and kill switch actions
- Mentor security analysts
- Operate closed loop red team to policy updates
- Perform AI security incident investigations
- Remediate cloud misconfigurations and excessive entitlements
- Run decision replay forensics
- Secure infrastructure with Terraform scanning
- Support vulnerability management across workloads
- Tune detection logic and runtime policies
- Validate tool calls and intent based enforcement
Perks/Benefits
Skills/Tech-stack
AI Security | AKS | AWS | AWS IAM | Agentic AI | Azure | Azure DevOps | CI/CD | Container Security | Data masking | EKS | Entra ID | GCP | GCP IAM | GitHub Actions | Incident Response | Infrastructure as Code | Jailbreak Prevention | KQL | Kubernetes | Kubernetes security | LLM security | Least Privilege | MCP security | PII Redaction | Policy-as-Code | Powershell | Prompt injection | Python | RAG Security | Rate Limiting | SIEM | SOC Workflow | Secrets management | Terraform | Threat detection | Tokenization | Vulnerability Management | Zero Trust | “as-code”
Education
N/A
Roles
AI | AI Security Engineer | Cloud Security Engineer | Cloud) | Engineer | Security Engineer
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