Python Software Engineer - Trading Systems
Python engineer on the Market Access team building real-time trading infrastructure for sports betting and prediction markets — exchange integrations via REST/WebSockets plus async services for order management, pricing and automated trading. Stack: Python 3.11, FastAPI, asyncio, PostgreSQL, RabbitMQ.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong commercial Python experience, particularly building and operating production services
- Good understanding of asynchronous Python, concurrency and event-driven systems
- Experience integrating with external APIs and real-time data feeds
- Good SQL and relational database skills
- Strong debugging skills and understanding of reliability, state management and failure handling
- Ability to work autonomously, take ownership and collaborate effectively within a small team
- Good software engineering practices, including testing and code review
Nice to have
- Experience in trading, betting, financial markets, payments or other real-time transactional systems
- Familiarity with exchange or broker APIs, order books, market data or automated trading systems
Full description
Python Software Engineer - Trading Systems
Moon Intelligence | Hybrid/Remote | Full-time
About Us
Moon Intelligence is a technology company specialising in software and quantitative models for the sports betting and prediction markets industry.
We develop proprietary pricing models, market access infrastructure and trading technology that enables our clients to operate across a wide range of sports and exchanges.
Our team combines expertise in quantitative modelling, software engineering and sports markets to build reliable, high-performance systems.
The role
We're looking for a Python Software Engineer to join our Market Access team, which develops the infrastructure and software that enables our clients to connect to betting and prediction market exchanges.
This is a hands-on engineering role building systems that support real-time trading activity, where reliability, correctness and robust failure handling are critical.
You'll be part of a small engineering team, taking ownership of meaningful projects and solving challenging problems involving asynchronous processing, external APIs and real-time systems.
What you'll be working on
- Building and maintaining integrations with betting and prediction market exchanges, including REST APIs and WebSockets.
- Developing asynchronous Python services supporting order management, pricing and automated trading.
- Designing reliable systems that handle external failures, disconnections and changing state safely.
- Investigating production issues and improving system reliability and performance.
- Taking ownership of features from development through testing and deployment.
What we're looking for
- Strong commercial Python experience, particularly building and operating production services.
- Good understanding of asynchronous Python, concurrency and event-driven systems.
- Experience integrating with external APIs and real-time data feeds.
- Good SQL and relational database skills.
- Strong debugging skills and an understanding of reliability, state management and failure handling.
- Ability to work autonomously, take ownership and collaborate effectively within a small team.
- Good software engineering practices, including testing and code review.
Our technology stack includes Python 3.11, FastAPI, asyncio, PostgreSQL, RabbitMQ and WebSockets. We don't expect you to have experience with every technology.