Senior Full Stack Engineer at LG Technology Ltd

Location: London, England
Type: Full-time
Level: lead/mgmt
Posted: Sep 28, 2026

Description

Liberty Global is hiring a Lead Full Stack Engineer for its AI Platform team in London. The role combines hands-on technical leadership with full-stack development across frontend applications, backend services, APIs, databases, cloud infrastructure, and platform services. Responsibilities include designing and owning critical platform capabilities, leading architecture and code reviews, delivering production software, evaluating complex technical challenges, and collaborating with AI, machine learning, product, infrastructure, and DevOps teams. The posting seeks deep full-stack expertise, distributed systems and cloud-native architecture knowledge, enterprise-scale platform experience, AWS/Azure/GCP experience, Kubernetes and platform engineering experience, and familiarity with AI and machine learning platforms.

Required Skills

Full-stack engineering
Distributed systems
Cloud-native architecture
Cloud engineering
Kubernetes
AI platforms
Large language models
Continuous delivery
Observability

Additional Information

Required Previous Experiences: Experience designing and delivering complex platforms operating at enterprise scale
Cloud engineering experience in AWS, Azure, or GCP environments
Experience with Kubernetes and modern platform engineering practices
Experience working with delivery partners, vendors, or systems integrators
Experience building or contributing to AI and machine learning platforms
Experience integrating large language models, speech technologies, or multimodal AI solutions into production environments
Experience with data platforms and infrastructure supporting AI workloads
Experience within telecommunications or other large-scale customer-facing digital platforms
Preferred Qualifications: Deep expertise across full-stack software engineering, including frontend technologies, backend services, APIs, databases, and infrastructure as code
Strong architecture and code review capability with constructive technical guidance
Ability to translate complex architectural requirements into practical engineering solutions
Strong communication and collaboration skills with the ability to influence technical decisions across teams
Familiarity with AI orchestration frameworks, intelligent workflows, and emerging AI technologies
Knowledge of monitoring, observability, and continuous delivery practices