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We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features.
Job Responsibility:
Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform
Design and build resilient backend services using Java and cloud-native infrastructure
Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework
Architect and maintain real-time data pipelines using event-driven systems and streaming technologies
Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems
Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes
Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows
Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably
Take ownership of system architecture, infrastructure decisions, and production deployments
Requirements:
A polyglot engineering mindset with the ability to work across multiple languages and systems
Strong experience building backend services and distributed systems
Ability to read, understand, and contribute to Java-based systems
Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies
Hands-on experience integrating LLM APIs from leading providers
Regular use of AI tools and coding assistants to increase development velocity and automate workflows
Strong engineering fundamentals including testing, documentation, security, and performance optimisation
Comfort working in fast-moving environments where ownership, clarity, and delivery are expected
Nice to have:
Experience in sports technology, live event data systems, or digital media platforms
Exposure to streaming technologies or real-time data processing frameworks
Strong experience designing data architectures and large-scale distributed systems