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docker linux aws kubernetes ci/cd๐ Description
- Act as primary advisor for securing AI/ML workflows and threat modeling.
- Advise and review agentic AI usage across R&D.
- Perform security testing and code reviews for AI and non-AI systems.
- Upskill teams on AI security fundamentals and vulnerabilities.
- Partner with compliance and legal on AI governance decisions.
- Embed secure-by-default principles and participate in on-call rotations.
๐ฏ Requirements
- Experience securing ARC and MLFlow model training/inference pipelines.
- Production-code developer with Agile, GitOps, CI/CD experience.
- Hands-on with AI tools (Cursor, Copilot, Gemini, Claude) and OpenAI APIs.
- Strong AWS core services, Kubernetes, Linux, and networking.
- Expert-level web and AI/ML security topics (OWASP, LLM, Agent).
- Architecture reviews; SAML, OAuth2, OIDC; Ruby on Rails a plus.
๐ Benefits
- Remote-first company culture.
- Shared offices in New York City and Ireland.
- Flexible work location with options to work anywhere.
- Performance review program with actionable feedback.
- Bonus structure recognizing great performance.
- Award-winning culture and employee resource groups.
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