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Moon Intelligence is seeking a Senior Software Engineer to own the backend & infrastructure. You will work on AWS-based production systems, balancing cloud infra responsibilities with hands-on software development in Java/Spring Boot or Python.
The role offers a hybrid/remote model with potential London office collaboration. You will contribute to reliability, security and scalability while delivering high-performance platforms for sports betting and prediction markets.
Moon Intelligence | Hybrid/Remote | Full-time
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.
We're looking for a Senior Backend & Platform Engineer to take ownership of our AWS infrastructure while contributing directly to the development of our software platforms.
This is a hands-on engineering role combining cloud infrastructure and application development. You'll be responsible for ensuring our production environment is reliable, secure and scalable, while spending a significant proportion of your time writing production software.
Depending on your background, your development work will focus on either our core Java platform or our Python-based market access and trading technology.
You'll be part of a small engineering team with considerable autonomy and the opportunity to make a meaningful impact across our systems.
We're a small, technically focused team where engineers have meaningful ownership of the systems they build.
We make extensive use of modern AI-assisted development tools and value engineers who can use them effectively while maintaining high standards of engineering judgement, testing and code quality.
We operate a hybrid working model, with opportunities to collaborate in person at our London office, but we're also open to fully remote candidates with the right experience and approach.