The role
Focussing on our Sportsbook product, we're looking for a Senior Software Engineer to help build and evolve our next-generation trading risk platform, powering real-time liability and exposure management across multiple brands and markets.
You'll primarily work on our Core Liability engine — a modular, event-driven system — delivering fast, accurate, and real-time insight into live positions and risk. This platform underpins critical trading decisions and represents a major step forward in scalability, resilience, and streaming architecture across our technology estate.
Key Responsibilities
What You'll Do
- Design and build distributed, real-time streaming components within a Flink-based architecture.
- Develop and maintain services that process the full bet lifecycle, from acceptance through settlement, cancellation, and cashout.
- Implement complex financial calculations, including multi-bet and bet-builder logic, ensuring accuracy and consistency at scale.
- Build systems that aggregate exposure and generate real-time risk insights across outcomes, markets, and customers.
- Contribute to a granular alerting framework that detects and publishes meaningful changes in liability.
- Ensure correctness in a high-throughput environment through robust handling of ordering, duplication, and idempotency.
- Optimise streaming jobs for latency, throughput, and resource efficiency.
- Collaborate closely with trading and product teams to translate domain requirements into scalable, reliable systems.
- Contribute to a modular architecture where components evolve independently and scale with increasing demand.A real-time liability platform providing live visibility into exposure and risk across brands and jurisdictions.
What You'll Work On
- A Flink-based streaming ecosystem composed of specialised components for ingestion, enrichment, calculation, aggregation, and alerting.
- Event-driven systems that process high volumes of bet events with strong consistency guarantees.
- Outcome-level alerting that enable faster and more informed trading decisions.
- Integration with downstream systems, including trader-facing tools.
Your experience
- 5+ years software engineering experience in building distributed systems.
- Excellent Java skills
- Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.).
- Solid understanding of event-driven architecture and asynchronous processing patterns.
- Experience handling data consistency challenges such as at-least-once processing, idempotency, and event ordering.
- Experience building high-throughput, low-latency systems in production environments.
- Ability to model complex domain logic and translate business requirements into robust technical solutions.
- Experience in cloud computing, ideally AWS.
- Proactive and ability to deal with and account for uncertainty, with the flexibility to learn by iteration.
Nice to Have
- Experience in sports betting, trading platforms, or financial systems.
- Experience building real-time alerting or monitoring systems.
- Exposure to modern data platforms or lakehouse architectures.