Senior Software Engineer - Distributed Systems
at Fanaticsfbg
New York, NY, United States, senior, full time, USD 1,52,000–2,00,000 / year, 5+ years
posted 26 May 2026
- Java
- Kafka
- Redis
- Spring Boot
- gRPC
- Kotlin
- Protobuf
- WebSocket
- REST
- Terraform
- Postgres
- Redis PubSub
- Helm
- AWS
- Kubernetes
About the role
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.
The Opportunity
As a Sr Software Engineer on our Distributed Systems team, you'll be at the core of what makes Fanatics Markets work — the event-driven infrastructure that powers real-money trading at scale. This is a role for an engineer who moves fluidly between hands-on coding and architectural influence: someone who can design a system that handles massive traffic spikes during live events, then roll up their sleeves and build it.
You'll work alongside some of the most experienced distributed systems engineers in the industry, owning meaningful technical decisions and directly shaping how the platform scales over the next several years. If you thrive at the intersection of high-throughput systems, low-latency design, and technical leadership — this is your seat
What you would do
- Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot, architecting for the traffic spikes and concurrency demands of a live real-money trading platform.
- Own the development and optimization of high-throughput event pipelines using Kafka, including partition strategy, consumer group design, and exactly-once processing guarantees.
- Build and tune low-latency data layers across Postgres, Redis, and Redis PubSub — ensuring data integrity, cache coherence, and sub-millisecond read paths under peak load.
Read from job-boards.greenhouse.io, last seen 3d ago.