Job Opportunities API

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team As a Senior Staff Security Engineer on the Fanatics Ecosystems Security team, you'll operate across the full breadth of our security domains, spanning application, AI, cloud, identity, and edge security. You'll lead security reviews, deliver impactful tooling in close partnership with engineering teams, and drive security programs with efficiency and scale. Responsibilities • Set the secure architecture strategy across product and enterprise environments, including on-premises, cloud, and containerless environments, establishing patterns and guardrails that other engineers and security teams build on, with a primary focus on application security and AI/ML system security • Lead threat model reviews for the most complex services and AI systems, including LLM-integrated products, agentic workflows, and model supply chains. (Be an Enabler) • Define and evolve the org's approach to AI security, securing model pipelines, data and trust boundaries, third-party model integrations, and AI attack surfaces • Contribute production code to product features and internal security tooling as a hands-on engineering partner • Act as the technical escalation point across security domains, including AppSec, cloud, identity, CI/CD, and AI, providing efficient security input across multiple product teams and architecture reviews simultaneously • Drive and scale security coding programs supporting immutable, version-controlled environments through infrastructure as code, detection as code, and other engineering security initiatives • Mentor senior and staff level engineers, raising the security engineering bar across the organization • Represent security in cross-functional and executive level architecture discussions, translating technical risk into business impact • Participate in an on-call rotation to provide 24/7 support for incident escalations, serving as an escalation lead for the most complex incidents Experience and Skills • 12+ years of experience in security engineering or a related field, including 6+ years of hands-on software engineering experience • Required: Strong proficiency developing and reviewing code in one or more programming languages, including Python, Java, or Go • Deep expertise in application security, including secure SDLC integration, SAST/DAST/IAST tooling, manual code review, and API security. • Demonstrated experience securing AI systems, including LLM application security, prompt injection defenses, data governance, secure agentic tool use, and emerging AI-specific threats • Demonstrated expertise implementing AWS security services and best practices (CloudTrail, GuardDuty, CloudWatch, Security Hub) at scale across multi-account environments • Hands-on experience managing WAF platforms (Cloudflare, Akamai, Fastly, AWS WAF or equivalent), including custom rule development, not just enabling managed rulesets • Demonstrated experience leveraging infrastructure as code with tools such as Terraform or Ansible, including designing secure module patterns and policy-as-code guardrails • Experience with identity management protocols (OAuth, SAML, OpenID Connect) and designing identity architecture across multiple business units or products • Deep understanding of secure CI/CD pipeline design, abl