Platform Engineer

ABOUT US

Spreadex has been operating for 25 years as a sports and financial spread betting provider. The business expanded to offer fixed odds betting in 2010 and CFD trading in 2017. Spreadex is the only global operator to offer all these services under one brand. After 25 years of sustained profits, we’re now looking to take the next step and materially grow the business in the next 5 years on both the sports and financials side.

Our ambitious plans are being supported by a material increase in our Marketing Budget and our expansion into Denmark. This opening provides the successful candidate with the opportunity to join a growing team in a vibrant office based in St Albans, just outside London. The role will be a mix of working from the office and working from home.

Our office is based in St Albans, Hertfordshire with a fast and simple commute from London and the surrounding area: 20 minutes from London St Pancras/Kings Cross by direct train Regular services also run from Farringdon, City Thameslink, and Blackfriars Easy access from the M1, A1(M), and M25 ABOUT THE POSITION We're looking for a talented Platform Engineer to join our Platform Team at Spreadex.

You will be responsible for building and operating the platform that underpins our award-winning trading platforms, alongside the tools and services that support the efficient workflows of our Software Engineers, allowing them to develop, build, test and deploy applications. We embrace the opportunities enabled by AI and are looking to improve our tools and processes to better utilise and support our developers and AI agents.

The Platform Team play a central role in designing and developing these tools. We use a diverse range of technologies to operate the platform — AWS, Linux, Kubernetes, Kafka, Redis/Valkey, HAProxy, Consul, Grafana, Open. Search, Terraform and more. We also use a wide range of development tools/languages — C#/.NET, Node.

js, Python, Azure DevOps Pipelines, ArgoCD ABOUT YOU Required: Experience in a software engineering role (ideally C#/.NET, but also Python, Node.js, Powershell or Bash) Experience with cloud (ideally AWS) and infrastructure as code (ideally Terraform) Strong communication skills Hands-on experience of AI tools and knowledge of AI practices Desirable: Experience with Kubernetes and related technologies (Linux/Docker) Knowledge of observability and monitoring tools Understanding of security principles and best practices An enthusiasm to learn different technologies and adapt to an evolving industry BENEFITS Competitive salary and bonus scheme Hybrid working - 3 days per week working from home (2 days for the first 6 months) 2 weeks fully remote per year 25 days holiday, rising to 30 after 2 years Great work-life balance Contributory pension scheme Private medical insurance scheme