Senior Application Security Engineer
Tasks
- Apply Kubernetes network policies
- Assess AI agent security
- Assess LLM security risks
- Automate security scans in GitHub Actions
- Conduct adversarial red teaming
- Conduct code security assessments
- Configure Argo CD security policies and RBAC
- Define AI incident response playbooks
- Define secure coding standards
- Harden Docker images
- Identify and track vulnerability remediation
- Implement GitHub branch protection and signed commits
- Implement LLM guardrails
- Implement security gates in CI CD pipelines
- Integrate container vulnerability scanning
- Lead threat modeling
- Perform penetration testing
- Perform security architecture reviews
- Run DAST
- Run SAST
- Sandbox AI inference workloads in Kubernetes
- Secure AI supply chain
- Secure Kubernetes RBAC
- Secure RAG security controls
- Set up Kubernetes pod security admission
- Test indirect prompt injection
- Use OPA Gatekeeper
Perks/Benefits
Skills/Tech-stack
AI incident response | Adversarial Testing | Agent Sandbox | Agent sandboxing | Anthropic | Argo CD | Artifact signing | Azure OpenAI | CI/CD | DAST | Data leakage | Data poisoning | DevSecOps | Docker | Embedding pipelines | GitHub Actions | Grype | Hugging Face | ISO/IEC | ISO/IEC 42001 | Incident Response | Jailbreaking | Kubernetes | LLM Top 10 | Machine Learning | Machine Learning Security | Model inversion | NIST | Network policies | OPA Gatekeeper | OWASP | OWASP LLM | OWASP LLM Top 10 | Open Source | Open Source Model | Open Source Model Weights | OpenAI | PII Detection | Penetration Testing | Pod Security Admission | Pod security | Prompt injection | RAG | RBAC | Red Teaming | SAST | SCA | Secrets management | Secure Coding | Security Architecture | Signed Commit | Snyk | Threat modeling | Tool Call Authorization | Top 10 | Training Data Leakage | Training data | Trivy | Vector Databases
Education
N/A
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