AI Cloud Security and Infrastructure Engineer
Tasks
- Configure DNS and networking services
- Deploy zero trust architecture
- Design secure cloud infrastructure
- Enforce security best practices for AI pipelines
- Execute mitigation strategies
- Implement data encryption
- Implement infrastructure-as-code
- Implement observability with monitoring tools
- Lead incident response for security breaches
- Maintain cloud compliance
- Manage Kubernetes and Docker deployments
- Manage identity and access management
- Monitor containerized environments
- Operate SIEM for threat detection
- Perform security and risk assessments
- Provision GPU and TPU resources
- Secure CI/CD pipelines
- Support LLM fine tuning hosting and scaling
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Management | Azure | Azure OpenAI | Azure OpenAI Service | Azure Resource | Azure Resource Manager | CI/CD | Cloud platform | DNS | Data Governance | Datadog | DevSecOps | Docker | Encryption | GPU | Google Cloud | Google Cloud Platform | Grafana | Hugging Face | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Microsoft Sentinel | Networking | Observability | OpenAI | OpenAI Service | PKI | Prometheus | Pulumi | Resource manager | Risk Assessment | SIEM | Security Risk | Security risk assessment | TPU | Terraform | Zero Trust | “as-code”
Education
N/A
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