Related skills
docker aws python kubernetes threat modeling๐ Description
- Design and implement security controls for AI/ML systems across development, training, and production.
- Secure LLM integrations, RAG pipelines, and AI APIs.
- Conduct threat modeling for AI systems and data pipelines.
- Integrate AI security checks into CI/CD pipelines.
- Secure model registries and artifact storage.
- Collaborate with other engineers and platform teams to enforce security standards.
๐ฏ Requirements
- 3โ5+ years in cybersecurity engineering or application security.
- Hands-on experience with ML/AI systems (LLMs, NLP models, or similar).
- Strong understanding of: OWASP Top 10, Secure SDLC, Cloud security (AWS/Azure/GCP).
- Experience with: Python, API security, Containerization (Docker, Kubernetes).
- Knowledge of AI-specific security risks and mitigations.
- Experience conducting threat modeling and risk assessments.
๐ Benefits
- Competitive Salary: We believe great work deserves great pay!
- Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
- Generous Time Off: Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
- Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
- Comprehensive Health & Pension Benefits: From medical insurance to pension plans, weโve got your back. Plus, location-specific benefits and perks!
- Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply).
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