Fanatics, Inc.
Gaming • Retail • eCommerce
Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.
Software Engineer III – Backend
October 25
Fanatics, Inc.
Gaming • Retail • eCommerce
Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.
📋 Description
• Design, build, and optimize real-time betting systems handling 10K+ events per second • Ensure 99.999% uptime for customer-facing services through robust error handling and failover strategies • Optimize database queries, caching strategies, and event streaming pipelines for sub-100ms response times • Full feature ownership: spec writing → implementation → deployment → monitoring → iteration based on metrics • Leverage AI tools to accelerate development velocity while maintaining code quality standards • Measure and report on AI tool ROI through concrete metrics (PR velocity, bug rates, test coverage)
🎯 Requirements
• 7+ years building and deploying scalable, high-performance production applications • Kotlin and/or Java: 3+ years building production microservices • Spring Boot: Deep understanding of reactive programming and non-blocking I/O • PostgreSQL: Complex query optimization, indexing strategies, and migration management • Kafka: Event streaming patterns, partition strategies, and consumer group management at scale • Redis/Redis Pub/Sub: Building real-time features supporting hundreds of thousands of concurrent users • Strong grasp of software design principles (SOLID, DRY) and testing methodologies (TDD, BDD)
🏖️ Benefits
• Health insurance • Retirement plans • Flexible work arrangements • Professional development
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