Senior Full Stack Engineer

In this hands-on technical leadership role, you will help shape the next generation of AI-powered platforms at Liberty Global. You’ll work with the VP of Software Engineering to design and evolve scalable, secure systems that power enterprise AI-driven experiences. As a senior engineer, you will guide architectural decisions, set engineering standards, and deliver production-grade software across frontend, backend, APIs and cloud infrastructure. You will collaborate with AI, ML, product, and DevOps teams to build integrated capabilities and drive platform health at scale. This role offers a meaningful opportunity to influence strategic platform direction while staying close to architecture,技

• Competitive salary and bonus
• 25 days annual leave (+5 with option to purchase)
• Wellbeing and mental health benefits
• Matched pension contribution up to 10%
• Volunteer Time Off (24 hours)
• Gym and wellness discounts

• Design, build and own platform capabilities across frontend, backend, APIs and cloud infrastructure
• Lead architecture reviews and technical design sessions for scalable, secure, maintainable solutions
• Deliver production-quality software from concept to deployment and operations
• Assess complex technical challenges and propose balanced, high-impact solutions
• Review designs and code from delivery partners, highlighting risks and improvement opportunities
• Champion engineering excellence across code quality, testing, CD, security, observability and reliability
• Collaborate with AI/ML, Product, Infrastructure and DevOps teams to deliver integrated platform capabilities

• Deep expertise across full stack software engineering (frontend, backend, APIs, databases, infrastructure as code)
• Strong knowledge of distributed systems and cloud-native architectures
• Experience designing and delivering complex enterprise-scale platforms
• Cloud engineering experience in AWS, Azure or GCP
• Experience with Kubernetes and modern platform engineering practices
• Strong architecture and code review capabilities with constructive guidance
• Ability to translate complex architectural requirements into practical engineering solutions
• Experience working with delivery partners, vendors or systems integrators
• Strong communication and collaboration skills to influence technical decisions
• Experience building or contributing to AI/ML platforms and integrating large language models or multimodal AI into production

• Strong communication
• Collaboration
• Influence and leadership
• AWS
• Azure
• GCP