Key skills
AWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesAIMLGenerative AIGCPGoogle CloudIAMCI/CDSalesNetwork SecurityCloud Security
About this role
Role Overview
- Design and implement secure cloud architectures for 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 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
- Experience securing AI/ML workloads and Generative AI systems
Tech Stack
- AWS
- Azure
- Cloud
- Cyber Security
- Google Cloud Platform
- Kubernetes
Benefits
- Medical, dental, and vision insurance
- 401(k) plan with Cisco matching contribution
- Paid parental leave
- Short and long-term disability coverage
- Basic life insurance
- 10 paid holidays per year
- 1 floating holiday
- 1 paid day off for employee’s birthday
- Paid year-end holiday shutdown
- 4 paid days for personal wellness
- 16 days of paid vacation for non-exempt employees
- Flexible vacation time for exempt employees
- 80 hours of sick time off on hire date and each January 1st
- Up to 80 hours of unused sick time carried forward
- Optional 10 paid days to volunteer
- Annual bonuses for non-sales roles