BACKEND ENGINEER

Ai-focused
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 75K

Job location

Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Python
PostgreSQL
Real Time Systems
Backend
FastAPI
Asynchronous Programming
Docker

Job description

You'll design, build, and maintain high-performance APIs using Python and FastAPI, working with large volumes of live sports data. The systems are real-time and data-heavy, so experience with asynchronous programming and scalable backend architecture is important.

You'll work closely with the wider team to iterate quickly on new features, optimise performance, and ensure stable production deployments across AWS infrastructure using Docker.

A genuine passion for sport is essential. You'll be working with complex sports data and logic daily, so understanding the game behind the numbers is key.

Requirements

We're supporting a rapidly growing, AI-focused organisation operating within the sports analytics space. Due to continued product expansion, they're looking for a Backend Engineer with 3+ years' commercial experience to help scale and enhance their core systems.

You'll be joining a small, highly capable team where engineers take ownership and have a direct impact on product direction and technical decisions., * 3+ years' commercial experience in backend development

  • Strong Python experience
  • FastAPI
  • PostgreSQL
  • Docker
  • AWS
  • Experience building scalable, real-time systems
  • Passion for sport

Benefits & conditions

  • Hybrid working (3 days per week in Waterloo)
  • Salary up to £75,000
  • Real ownership of backend architecture and deployments
  • Exposure to cutting-edge AI and real-time data systems
  • Fast-paced, collaborative engineering environment, Python, FastAPI, PostgreSQL, AWS, Docker, Backend Development, API Design, Real-Time Systems, Software Engineering, Sports Data

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