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java aws python kubernetes gcp📋 Description
- Design and implement secure reference architectures for Enterprise AI.
- Establish AI vetting framework and governance across the org.
- Collaborate on agentic AI identity and posture roadmap.
- Maintain security posture via code (Python/Go) and IAC.
- Mentor junior engineers and advise leadership on AI security.
🎯 Requirements
- 7+ years of experience in security engineering or infrastructure security.
- 2+ years leading teams or risk analysis in an enterprise.
- Expertise in cloud security (AWS, GCP) and container security (Kubernetes).
- Proven track record designing and deploying complex security systems at scale.
- Strong proficiency in Python, Go, or Java.
- Experience building automation for security workflows, including AI-driven automation.
- Excellent communication to explain AI security risks to non-technical stakeholders.
🎁 Benefits
- Competitive pay
- Generous time off
- Parental and wellness leave
- Healthcare coverage
- Retirement savings program
- Offerings vary by location
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