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Senior Full Stack Engineer

Liberty Global

Skills

Required

  • AI
  • backend services
  • APIs
  • architecture review
  • distributed systems
  • cloud native architectures
  • speech technologies / multimodal AI solutions
  • software engineering
  • frontend technologies
  • databases
  • infrastructure as code
  • cloud engineering
  • AWS / Azure / GCP
  • Kubernetes

Preferred

  • Machine Learning platforms
  • frontend applications
  • cloud infrastructure
  • architecture reviews

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.

Experience with data platforms and infrastructure that support AI workloads

Responsibilities

  • 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.

Requirements

  • 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 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

Preferred

  • Experience building or contributing to AI and Machine Learning platforms