AI Platform Security Engineer

Jobtailor; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior Cloud Security Engineer to design and implement secure cloud architectures for enterprise-scale Generative AI platforms. You will establish security guardrails, IAM strategies, and network controls, and embed security into CI/CD pipelines and IaC workflows.

You will lead threat modeling and risk assessments, and partner with AI engineers and platform teams to operationalize security standards across GCP, AWS, and Azure environments.

Qualifications

• Bachelor’s degree in Computer Science, Information Security, or related field.
• 6+ years of experience in cybersecurity or cloud security engineering.
• 3+ years of hands-on experience securing GCP, Azure, or AWS environments.
• experience designing and managing IAM, encryption, and network security controls.
• experience integrating security controls into CI/CD pipelines and Kubernetes environments.

Responsibilities

• design and implement secure cloud architectures for enterprise-scale Generative AI platforms
• establish security guardrails, IAM strategies, and network controls
• embed security controls into CI/CD pipelines and infrastructure-as-code workflows
• lead threat modeling and risk assessments for AI systems
• partner with AI engineers and platform teams to operationalize security standards

Skills

Cloud security

IAM management

CI/CD security

Kubernetes security

Threat modeling

Education

Bachelor’s degree in Computer Science or related field

Tools

GCP

AWS

Azure

Job description

Responsibilities

• design and implement secure cloud architectures for enterprise-scale Generative AI platforms
• establish security guardrails, IAM strategies, and network controls
• embed security controls into CI/CD pipelines and infrastructure-as-code workflows
• lead threat modeling and risk assessments for AI systems
• partner with AI engineers and platform teams to operationalize security standards

Requirements

• Bachelor’s degree in Computer Science, Information Security, or related field
• 6+ years of experience in cybersecurity or cloud security engineering
• 3+ years of hands-on experience securing GCP, Azure, or AWS environments
• experience designing and managing IAM, encryption, and network security controls
• experience integrating security controls into CI/CD pipelines and Kubernetes environments