Software Engineer II

Fanatics

full-time

Posted on: 8/30/2025

Location: Alabama, Arizona, Iowa, Kentucky, Louisiana • 🇺🇸 United States

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💰 $144,000 - $216,000 per year

Mid-LevelSenior

AWSCloudDistributed SystemsGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesMongoDBSpringSpring BootSpringBoot

About the role

Build foundational APIs, data pipelines, and service layers powering personalized recommendations, live search, and betting interfaces
Design, develop, test, and deploy scalable backend services and RESTful APIs for real-time features like search, box scores, and live event tracking
Collaborate with engineers, data scientists, and product managers to understand data pipelines, system dependencies, and product requirements
Participate in on-call rotation to triage, debug, and resolve production issues
Contribute to service architecture, sprint planning, and long-term technical decisions
Participate in code reviews and build observability into services
Develop domain understanding of sports event hierarchies and data quality impacts
Stay current with distributed systems, cloud-native infrastructure, and data API tooling
Open to occasional travel to FBG offices or industry events; hybrid option based in Denver, CO

3–7 years professional experience building backend systems or APIs, ideally in fast-paced or data-rich environments
2+ years experience with Java (Spring Boot preferred)
Experience with Kafka, Databricks, and Snowflake (plus)
Strong understanding of microservices architecture and REST API design
Experience working with databases (MongoDB or similar), data modeling, and caching strategies
Familiarity with observability practices (logs, metrics, traces), CI/CD pipelines, and Agile workflows
Comfortable participating in on-call rotation and debugging production issues
Strong written and verbal communication and collaboration skills
Exposure to cloud platforms (GCP, AWS) or Kubernetes-based infrastructure (preferred)
Experience in data-focused services: indexing pipelines, search APIs, data quality frameworks, or real-time feeds (preferred)
Previous startup-like or 0→1 experience, mentoring, and passion for clean code (preferred)
Interest in Sports, Casino, Generative AI, and Recommendation Systems (preferred)