Senior Software Engineer
Senior Software Engineer: Sports Betting
Up to £120,000 + Bonus + Excellent Benefits
London - 5 Days On-Site | Python | Java | AI | Low Latency | Distributed Systems
Build software where performance, mathematics and Real Time decision-making genuinely matter.
We're partnering with a highly technical sports betting business continuing to invest in its engineering function. They're looking for Senior Software Engineers to work on complex Back End systems operating across Real Time data, quantitative problems and high-performance distributed architecture.
This is an opportunity for engineers who enjoy difficult technical problems rather than simply delivering features or maintaining an existing codebase.
You'll have significant technical ownership, contribute to architectural decisions and work alongside engineers tackling problems around latency, scalability, reliability and large-scale data processing.
The Role
You'll join a highly technical engineering team building and evolving systems used within a quantitative sports betting environment.
You'll work across:
Designing and building scalable Back End services
Developing primarily with Python and Java
Building low-latency and high-throughput systems
Processing large volumes of Real Time data
Developing distributed and event-driven architectures
Building integrations with external platforms and APIs
Optimising system performance and reliability
Solving complex scalability and concurrency problems
Contributing to system architecture and technical direction
Working with cloud-native infrastructure and containerised applications
Applying strong analytical and mathematical thinking to engineering problems
Working alongside teams using AI and machine learning within the wider technology environment
Python | Java | GCP | Docker | REST APIs | Distributed Systems | Event-Driven Architecture | Streaming | Real Time Data | AI/ML
What We're Looking For
We're looking for engineers with strong Back End foundations who have worked on technically demanding systems where speed, reliability and scale matter.
You'll ideally have:
Strong commercial Python experience
Professional Java experience
Experience with distributed Back End systems
Experience with Real Time or high-throughput applications
Low-latency engineering experience
Strong analytical and mathematical problem-solving ability
Experience with cloud platforms, ideally GCP
Docker/containerisation experience
REST API development experience
Experience with event-driven architecture or messaging
Exposure to AI, machine learning or AI-enabled systems
Strong understanding of performance, reliability and scalable architecture
Relevant Backgrounds
Candidates may come from environments such as:
Sports betting
iGaming or gambling technology
Quantitative betting or pricing platforms
Electronic trading
Market-data systems
Low-latency financial technology
High-performance distributed systems
Candidates from financial markets are particularly relevant where they have experience with FIX Protocol, electronic trading or Real Time market-data systems.
A strong mathematical or quantitative background will be highly valuable.
You don't need to tick every box. The team may consider candidates who meet the majority of the technical requirements and can demonstrate strong engineering fundamentals.
This role is 5 days per week in the London office.
Candidates who are immediately available or working shorter notice periods will be strongly preferred.
What's In It For You?
Up to £120,000 depending on experience
Annual performance bonus
Private healthcare and dental
Pension
25 days' holiday + bank holidays
Wellness and gym membership
Complimentary breakfasts
Regular team lunches
Excellent office facilities
Significant technical ownership
Work on genuinely difficult engineering problems
If you're a Senior Software Engineer with strong Python or Java experience and a background in low-latency, Real Time or quantitative systems, get in touch for a confidential conversation.
RSG Plc is acting as an Employment Agency in relation to this vacancy.