Senior Full Stack Engineer

Liberty Global • 6 days ago
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Salary
≈ $94k – $183k per year (Estimated)
Location
In office (London)
Seniority
Senior
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 2, 2026.

Overview
Company
Impact
Profile match

Liberty Global

Liberty Global is an international telecommunications and media company that owns broadband and mobile network businesses in Europe. Its job ads cover finance internships, corporate tax strategy, AI architecture, technical project management and executive support. The company is headquartered in London, United Kingdom.
libertyglobal.com • HQ: London, United Kingdom • Mobile Networks • Broadband
Tech stack of Liberty Global

Join our team as a Senior Full Stack Engineer, where you will design, build, and own critical platform capabilities across frontend applications, backend services, APIs, and cloud infrastructure. You will lead architecture reviews and technical design sessions, deliver production-quality software, and evaluate complex technical challenges. You will also champion engineering excellence and collaborate closely with various teams to deliver integrated platform capabilities.

Missions

  • Design, build, and own critical platform capabilities across frontend applications, backend services, APIs, and cloud infrastructure.
  • Lead architecture reviews and technical design sessions, ensuring solutions are scalable, secure, and maintainable.
  • Deliver production quality software from concept through to deployment and operational support.

Profil recherché

- Strong knowledge of distributed systems and cloud native architectures

- Experience integrating large language models, speech technologies or multimodal AI solutions into production environments

- Strong communication and collaboration skills, with the ability to influence technical decisions across teams

- Deep expertise across full stack software engineering, including frontend technologies, backend services, APIs, databases and infrastructure as code

- Strong cloud engineering experience within AWS, Azure or GCP environments

- Experience designing and delivering complex platforms operating at enterprise scale

- Experience working with Kubernetes and modern platform engineering practices

- Strong architecture review and code review capability, with the ability to provide constructive technical guidance

- Familiarity with AI orchestration frameworks, intelligent workflows and emerging AI technologies

- Experience building or contributing to AI and Machine Learning platforms

- Experience working with delivery partners, vendors or systems integrators

- Experience within telecommunications or other large scale customer facing digital platforms

- Ability to translate complex architectural requirements into practical engineering solutions

- Knowledge of monitoring, observability and continuous delivery practices

- Experience with data platforms and infrastructure that support AI workloads

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