Security / Compliance Engineering
Tasks
- Build monitoring and alerting for suspicious AI usage
- Conduct threat modeling for AI risks
- Configure network segmentation and API security
- Design secure AI and GenAI architectures
- Embed security into MLOps and LLMOps
- Implement AI security controls for LLM applications
- Implement AWS IAM encryption and secrets controls
- Maintain audit-ready documentation
- Manage risk remediation
- Perform AI red teaming
- Review Infrastructure as Code templates
- Review third party models APIs and open source security
- Run vulnerability assessments
- Secure CI CD and deployment pipelines
- Support incident response and production readiness reviews
Perks/Benefits
- 401k match
- ADandD insurance
- Dental insurance
- Disability coverage
- Employee assistance program
- Flexible spending account
- Health savings account
- Life insurance
- Long-term disability
- Medical insurance
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI red teaming | API Security | AWS IAM | Adversarial Attacks | CI/CD | Container Security | Data Loss Prevention | Data leakage | Data loss | DevSecOps | Encryption | Incident Response | Infrastructure as Code | Jailbreaks | Key Management | Kubernetes | LLM Gateway | LLMOps | Least Privilege | Logging | Loss prevention | MLOps | Model Supply Chain Risk | Model inversion | Model supply-chain | Network Segmentation | Prompt injection | RAG | Red Teaming | Retrieval Poisoning | Secrets management | Secure SDLC | Secure defaults | Security Testing | Supply chain risk | Terraform | Threat modeling | Vulnerability Management | “as-code”
Education
N/A
Regions
Countries
States
Cities
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