Principal DevSecOps Engineer - AI
Tasks
- Architect secure CI CD pipelines for AI workloads
- Automate secure build deployment and promotion workflows
- Create infrastructure as code templates and GitOps workflows
- Define guardrails for responsible AI operations and compliance
- Develop monitoring and detection for AI specific threats
- Embed security controls into pipelines with policy as code
- Harden AI serving infrastructure including vector databases and retrieval APIs
- Implement AI specific security such as data poisoning safeguards and prompt injection mitigation
- Implement dataset and model provenance attestation and traceability
- Protect AI supply chain from tampering and malicious model substitution
- Set up security hardened multi region fault tolerant deployment architectures
- Support AI aware incident response procedures and threat hunting
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program
- Employee recognition program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning
- Paid time off
- Retirement plan
- Unlimited vacation
- Volunteering paid time off
Skills/Tech-stack
Amazon Web Services | Azure | CI/CD | Cloud platform | Container Security | DevSecOps | GitOps | Go | Google Cloud | Google Cloud Platform | Image scanning | Incident Response | Infrastructure as Code | KMS | Kubernetes | Model Governance | Policy-as-Code | Python | Retrieval API | SAST | SCA | SLSA | Secrets management | Service Mesh | Sigstore | Terraform | Threat hunting | Vault | Vector Database | Web Services | “as-code”
Education
N/A
Roles
DevSecOps | DevSecOps Engineer | Engineer | Principal | Principal DevSecOps Engineer
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