Staff Enterprise Security Engineer, AI Security
New
J
JobgetherSecurity & IT
United StatesFull-TimeStaff
Salary$155,520–$194,400 (CO, HI, IL, MD, MA, MN, VT, DC); $164,640–$205,800 (NY, NJ, WA, CA excluding Bay Area); $182,960–$228,700 (SF Bay Area, CA)
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Job Details
- Experience
- 7+ years of experience in security engineering, infrastructure security, or a closely related field; 2+ years of experience providing technical leadership at staff-engineer level
- Required Skills
- AWSPythonGCPJavaKubernetesGo
Requirements
- 7+ years of experience in security engineering, infrastructure security, or a closely related field.
- 2+ years of experience providing technical leadership at staff-engineer level or leading teams within an enterprise environment.
- Deep expertise in cloud security, particularly AWS and GCP.
- Deep expertise in container security and Kubernetes.
- Proven experience designing and deploying complex security systems at enterprise scale.
- Strong programming proficiency in Python, Go, Java, or similar languages.
- Experience with security architecture, threat modeling, identity and access management, and data protection.
- Experience designing, deploying, or reviewing automation for complex security workflows.
- Strong ability to navigate ambiguous, large-scale technical challenges.
- Excellent communication and stakeholder-management skills.
Responsibilities
- Design and implement secure reference architectures for enterprise AI platforms, protecting data integrity, regulatory compliance, and overall security posture.
- Establish and evolve a comprehensive framework for evaluating and vetting AI technologies.
- Develop the long-term roadmap for agentic AI identity and posture management.
- Architect and implement preventative security guardrails for AI agents and emerging use cases.
- Apply strong security engineering practices using Python, Go, or similar languages.
- Manage and improve infrastructure through Infrastructure as Code.
- Partner with cross-functional stakeholders to establish strategic direction and drive execution.
- Serve as a technical advisor to senior leadership on AI security risks.
- Mentor engineers and contribute to the development of security engineering practices.
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