Senior Staff Security Architect: AI, Cloud & AppSec Leader

Fanatics

New York (NY)

On-site

USD 167,000 - 275,000

Full time

14 days+
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Job summary

Fanatics is seeking a Senior Staff Security Engineer to lead across application, AI, cloud, identity and edge security. You’ll drive security reviews, ship tooling with engineering partners, and scale security programs for a large, multi-account environment.

Responsibilities include setting secure architecture across on-prem and cloud, leading threat model reviews for complex services and AI systems, and contributing production code to security features and tooling while mentoring engineers and

Qualifications

  • 12+ years in security engineering or related field.
  • 6+ years hands-on software engineering.
  • Proficient in Python, Java, or Go.
  • Deep security expertise across AI, cloud, and app security.
  • Experience securing AI systems and model pipelines.
  • Experience with AWS security services at scale.

Responsibilities

  • Set secure architecture across product and enterprise environments.
  • Lead threat model reviews for complex services and AI systems.
  • Define and evolve AI security approaches and model pipelines.
  • Contribute production code to security features and tooling.
  • Serve as escalation point across security domains for multiple teams.
  • Drive security coding programs with infrastructure as code and policy-as-code.
  • Mentor senior engineers and represent security in architecture discussions.
  • Participate in on-call rotation for incident escalations.

Skills

Security engineering
Secure coding
AppSec
Cloud security
Threat modeling
AI security
CI/CD security
Identity management
Policy as code

Tools

Terraform
Ansible
AWS WAF
Cloudflare

Job description

Fanatics is seeking a Senior Staff Security Engineer to lead across application, AI, cloud, identity and edge security. You’ll drive security reviews, ship tooling with engineering partners, and scale security programs for a large, multi-account environment.

Responsibilities include setting secure architecture across on-prem and cloud, leading threat model reviews for complex services and AI systems, and contributing production code to security features and tooling while mentoring engineers and

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