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A leading company in sports betting analytics is looking for a Junior Software Engineer in London. This entry-level role involves working on a trading platform, integrating systems, and collaborating with a talented team. Successful candidates will have a strong academic background in technical fields and coding proficiency, with the opportunity for extensive training and professional development.
Join to apply for the Junior Software Engineer role at Longshot Systems
Join to apply for the Junior Software Engineer role at Longshot Systems
At Longshot Systems we build advanced platforms for sports betting analytics and trading.
We're hiring for a Junior Software Engineer within our trading platform team. The primary function of this team is to manage our in-house trading platform which integrates with sports betting trading venues globally. You’ll be working on these integrations and on the core platform alongside an experienced team doing creative, challenging work.
Our tech stack is distributed and event driven, written in golang on top of postgres with many integrations to betting exchanges and bookies via APIs and via web scraping.
You'll also be working closely with the wider company including sports modelling researchers, trading analysts and the commercial team. You will focus on helping maintain trading infrastructure and helping the team scale and improve the systems at the heart of the business.
The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies. Knowledge of sports betting is not required. Knowledge of web technologies up and down the stack is vital.
We are a hybrid working company. We come in every Thursday to our London (Farringdon) office and work remotely the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals.
For this role, we’re targeting early-career developers with a bias toward academic excellence and either relevant industry experience or demonstrated capability to use and learn a wide array of tools and technologies.
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