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cybersecurity cloud python kubernetes ai📋 Description
- Research agentic threats, incl. prompt injection, context poisoning, adversarial content.
- Architect scalable agentic workflows; secure agent-to-web interactions.
- Develop detection and mitigation techniques for malicious prompts and adversarial behavior.
- Implement security controls within agent runtimes for safe reasoning over data.
- Collaborate with engineers to productionize security mechanisms.
- Proactively threat model AI risks to anticipate future issues.
🎯 Requirements
- BSc in CS or significant high‑scale cloud exp; MSc/PhD is a plus.
- 3+ years in applied AI with production AI systems; agentic experience a plus.
- Expert Python; Kubernetes and cloud‑native orchestration; data modeling and VCS.
- Significant experience in cybersecurity or browser tech is preferred.
- Deep understanding of prompt engineering and exploitation in agentic systems.
- Able to explore ambiguity, experiment, and iterate toward effective security solutions.
🎁 Benefits
- Collaborative culture with shared core values.
- Open communication and opportunities to take initiative.
- Open environment to learn and grow within security-focused teams.
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