Senior Software Engineer

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.

• 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.

• 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.
• Nice to Have: Experience building real-time alerting or monitoring systems.
• Nice to Have: Exposure to modern data platforms or lakehouse architectures.

• Well-being allowance
• Learning and development opportunities
• Inclusion networks
• Charity days
• Long service awards
• Social events and activites
• Private medical insurance
• Life assurance and income protection
• Employee Assistance Programme
• Pension