Fanatics Betting & Gaming

Staff Software Engineer - Market Maker

New York, NY, United States · Staff+ · Full-time

Sponsorship not specified$181k-$238kDetected 9 hours ago

JavaDistributed SystemsPostgreSQLRedisAWSKubernetesKafkaInventory Management

About the role

This is a hands-on, high-ownership role.
Real money is on the line every time our system quotes a price - the work is technically demanding, commercially consequential, and directly visible in daily P&L snapshots the whole team sees.
You'll be expected to understand the trading business well enough to write one, and to care about outcomes beyond just shipping the feature.

Responsibilities

Own a major domain within the market making pipeline - pricing engine, order management, real-time data ingestion, or PnL/risk infrastructure - driving design, implementation, and ongoing operational reliability.
Build and maintain systems that process high-throughput, low-latency event streams: market data, fixture updates, pricing feeds, and order lifecycle events across exchanges.
Partner with our Senior Staff engineer and trading team on cross-domain technical decisions - contributing grounded domain expertise while maintaining the integrity of the broader platform architecture.
Build and improve internal Trading UI tooling - dashboards, kill switches, position monitors, and manual intervention surfaces - that our traders depend on for real-time market management during live events.
Contribute to team-level engineering standards - design docs, code and architecture reviews, and patterns that hold up as we expand to new sports, market types, and exchange venues.
Develop genuine fluency in our trading economics: understand spread logic, adverse selection, inventory risk, and where we make and lose money - and use that context to prioritize what to build and improve.
7+ years building scalable, fault-tolerant distributed systems in production environments
Demonstrated end-to-end domain ownership: you've designed, built, operated, and improved systems - not just delivered features

Requirements

Strong hands-on proficiency with Java, Kafka, Redis, Kubernetes, AWS, and Postgres
Deep experience with event-driven architecture and async messaging - you've designed and debugged consumer group strategies, partition schemes, and delivery guarantees under real production constraints

Nice to have

Strong performance instincts - you think carefully about latency, throughput, and data pipeline efficiency, and you know how to measure what matters
High risk tolerance for ambiguity and speed - you're comfortable deploying daily, working without a release train, and making good decisions when the spec is still being written
Experience in real-time trading, financial infrastructure, market data platforms, or prediction markets
Familiarity with FIX protocol or exchange connectivity patterns
Working knowledge of quantitative concepts - pricing models, spread optimization, inventory management, or adverse selection - even if you've come at them from the engineering side

Compensation

$180,500 - $237,500 USD

Benefits

For information about our benefits, please visit https://benefitsatfanatics.com/
In addition to the base and bonus, full-time employment, and more.

Company info

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, 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
Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
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, 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.
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about.
Built on a secure platform, it lets users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond.
Its 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.
We're hiring for our Market Making team that sits outside the Fanatics Markets application's operation, working independently with a third-party exchange and clearinghouse.

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This listing is sourced directly from Fanatics Betting & Gaming's careers page and normalized into a canonical job model.