Location: Hybrid (remote-friendly, with team days at our Paddington HQ in London)You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.About usMoon Intelligence is a founder-led, successful startup delivering innovative solutions to the sports betting industry since 2018. The business is built around predictive sports modelling - combining cutting-edge statistical techniques with an ever-expanding array of real-time data feeds, scraped inputs, and APIs to power accurate, scalable decision systems.Our software engineering team is small, fast-paced, and trusted to build and ship critical systems. We work with a rich blend of live and historical sports data and power internal tools that support high-frequency decision-making. Engineers are hands-on with real-world problems and have room to influence how our systems evolve.We release quickly and often - no long cycles or red tape. Engineers are trusted to build, ship, and iterate. Theres plenty of scope for improvement, and were investing in the foundations to modernise our stack and scale intelligently.What youll work onBuild and evolve systems that support real-time trading, data ingestion, and model integration.Develop tooling and platforms that work with live and historical sports data.Work across the stack - from the frontend to performance-sensitive backend code.Contribute to early-stage prototyping and iteration on new features and system components.How we workFlat and collaborative - we avoid hierarchy, and engineers have real input.No product managers - priorities are set between engineering and leadership.Hybrid team - mostly remote with team days to stay connected.We optimise for fast, pragmatic improvements, not perfection.Your voice matters - engineers help define and improve our ways of working.Our tech stackWe use a mix of PHP, Python, and JavaScript across our platform. Were currently in a modernisation phase, where we choose the right tools for each job - sometimes that means improving what weve got, and sometimes isolating functionality and introducing something new.Were investing in a modern frontend platform, improving system design, and introducing better patterns and observability across the board. If you care about building well-engineered systems, theres a lot to get stuck into.What were looking forStrong software engineering fundamentals and experience across the stack.A practical mindset - you know when to tidy, when to rebuild, and when to ship.Excitement about working on technical problems with real-world impact.Interest in sports, trading or analytics is a plus - not essential, but it helps.Experience (or appetite) for working with live data, performance-sensitive systems, or data ingestion pipelines.Ability to work independently, take ownership, and communicate clearly.How to applyYou're welcome to apply with just a CV or LinkedIn profile, but we'd love to hear a bit about why this role appeals to you. Even a few lines goes a long way.We tailor compensation to experience and fit. If you apply, please include your salary expectations in your covering notes or application message.
Job Title
Software Engineer