Senior Platform/DevOps engineer owning core infrastructure, CI/CD pipelines, and developer experience for Fanatics Betting & Gaming's sportsbook/prediction-markets platform, with a strong focus on AI-augmented development (Claude Code, Cursor, Copilot). Core stack: Java, Python, AWS, Kubernetes, and observability tooling.
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; We're looking for the right people to help us build the future of prediction markets.
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As a Senior Platform Engineer, you will be a key driver of our core infrastructure and developer experience. You will own complex features from ideation to production, championing best-in-class platform standards and mentoring mid-level engineers while remaining deeply embedded in the codebase.
On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality.
Implement team-level standards for AI-augmented development, utilizing prompt engineering and validation frameworks to increase velocity without sacrificing code quality.
Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking team productivity metrics.
Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle.
Contribute to the system observability roadmap by implementing monitoring, tracing, and alerting to ensure high operational reliability.
Mentor junior and mid-level engineers, lead incident response for team-owned services, and advocate for modern engineering best practices.
5 plus years of experience in platform engineering, DevOps, or backend engineering, with a track record of building scalable, cloud-native environments (AWS/Kubernetes).
~ Strong proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code and an ability to optimize personal development workflows.
~ Ability to evaluate AI-generated code for security gaps or architectural "hallucinations" and implement rigorous testing strategies.
~ High proficiency in Java and Python (Golang is a plus). Experience building mature CI/CD pipelines and working with observability tools (e.g., Proven ability to take ownership of complex projects in a fast-paced environment, balancing speed with architectural health.
~ Experience with financial systems, real-money transactions, or regulatory compliance.
Background in building internal developer tools or CLI applications.
Experience leading small project groups or "squads" within a larger team.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. We are open to fully remote candidates based in the United Kingdom. Remote employee may also be eligible for a home office setup stipend.
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Remote working/work at home options are available for this role.