Senior Security Engineer - AI & Cloud Architecture

Fanatics Betting & Gaming

New York (NY)

On-site

USD 180,000 - 240,000

Full time

11 days ago

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Job summary

Fanatics Betting & Gaming is seeking a Senior Staff Security Engineer to join the Ecosystems Security team in New York. You will shape secure architecture across on-prem and cloud environments with a focus on application security and AI/ML system security.

You will mentor engineers, lead threat model reviews, contribute to security tooling, and participate in on-call incident leadership while collaborating with multiple product teams in New York.

Qualifications

  • 12+ years in security engineering with 6+ years coding experience.
  • Proficiency in Python, Java, or Go.
  • Expert in application security and secure SDLC.
  • Experience securing AI/LLM systems and model pipelines.
  • AWS security services at scale across multi-account environments.
  • WAF platforms and IaC with Terraform/Ansible.
  • Identity protocols and CI/CD security.

Responsibilities

  • Set secure architecture strategy across product and enterprise environments, including on-prem, cloud, and containerless environments.
  • Lead threat model reviews for complex services and AI systems.
  • Define AI security approach, securing model pipelines and data boundaries.
  • Contribute production code to security tooling as an engineering partner.
  • Mentor senior engineers and represent security in cross-functional architecture discussions.
  • Participate in on-call rotation for incident escalations.

Skills

Security engineering
Hands-on software
12+ years experience
Python/Java/Go
Application security
AI security
AWS security
WAF platforms
IaC (Terraform/Ansible)
Identity protocols
CI/CD security
Security leadership
Certifications (OSCP/OSWE/OSCE/CISSP)

Tools

Terraform
Ansible
Cloudflare
Akamai
Fastly
AWS WAF

Job description

Fanatics Betting & Gaming is seeking a Senior Staff Security Engineer to join the Ecosystems Security team in New York. You will shape secure architecture across on-prem and cloud environments with a focus on application security and AI/ML system security.

You will mentor engineers, lead threat model reviews, contribute to security tooling, and participate in on-call incident leadership while collaborating with multiple product teams in New York.

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