Related skills
java aws python kubernetes gcp📋 Description
- Design secure reference architectures for Enterprise AI platforms.
- Establish AI vetting framework to institutionalize this mindset.
- Collaborate to define AI identity and posture roadmap.
- Maintain security posture via code (Python/Go) and IaC.
- Mentor junior engineers and advise leadership on AI landscape.
🎯 Requirements
- 7+ years of experience in security engineering or infra security.
- 2+ years leading teams or technical risk analysis in enterprise.
- AWS, GCP cloud security and Kubernetes expertise.
- Proven track record deploying complex security systems at scale.
- Proficiency in Python, Go, or Java.
- Experience building automation for AI-driven and traditional workflows.
- Excellent communication to explain AI security risks to non-technical stakeholders.
🎁 Benefits
- Competitive pay and benefits
- Generous time off and parental/wellness leave
- Healthcare and retirement savings program
- Remote-friendly with global impact
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