Full Stack Engineer
Posted Updated
- Design, build and evolve the AI-first telecom platforms that serve millions of Liberty Global customers across multiple countries
- As a Full Stack Engineer, you will be one of the most technically skilled hands on the platform – writing production code, shaping architectural decisions, and ensuring the systems we build are scalable, secure and genuinely ready for the demands of enterprise-scale telecoms
- You will work closely with the VP Software Engineering and the wider platform team to translate architectural direction into working software, challenge technical assumptions with depth and evidence, and play a significant role in raising the engineering bar across the organisation
- Design and own critical platform components, contributing to the overall architecture and ensuring consistency with the reference architecture set by the VP Software Engineering
- Evaluate and propose solutions to complex technical challenges, balancing performance, scalability, security and maintainability
- Lead architecture reviews and technical design sessions for key platform features, bringing depth and rigour to the process
- Define integration patterns and data flows across platform services, ensuring components work together reliably at scale
- Write production-quality code across the full stack – from backend services and APIs through to front-end interfaces and infrastructure as code
- Deliver features and platform capabilities end to end, from design through build, test and deployment into production
- Contribute to production readiness: documentation, runbooks, monitoring and observability – ensuring nothing ships until it’s genuinely ready
- Maintain and improve existing platform components, addressing technical debt and performance issues with clear prioritisation
- Champion engineering best practices across the team: code quality, testing, CI/CD, security, and observability
- Conduct thorough code and architecture reviews, providing constructive, evidence-based feedback that raises the standard
- Contribute to and help maintain the engineering standards and guardrails established at VP level, making them practical and usable day to day
- Work alongside build partners on platform delivery, providing technical direction and reviewing their designs and code to the same standard as internal work
- Identify and flag risks or gaps in partner delivery early, feeding back to the VP Software Engineering with clear, actionable recommendations
- Collaborate closely with AI/ML, DevOps, Infrastructure and Product teams to deliver integrated platform capabilities
- Share technical knowledge across the engineering organisation – through documentation, internal talks, or hands-on pairing – building capability and reducing single points of failure
- WHAT SUCCESS LOOKS LIKE (6–12 MONTHS)
- Key platform components designed, built and running in production with strong stability, performance and security outcomes
- Architecture decisions made with clear technical rationale, consistently documented and applied across the platform
- Code and design reviews that visibly raise the quality bar – the team builds better because of your involvement
- Build partner output reviewed and challenged effectively, with early identification of risks and clear escalation when needed
- Engineering standards embedded in day-to-day practice, not just documented on a page
- Experience working with cloud-native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent)
- Strong experience in code and architecture review – giving and receiving feedback that improves the work
- Proven ability to translate complex architectural requirements into clear, deliverable engineering plans
- Experience collaborating with or reviewing the output of SI / vendor build partners
- Comfortable working in fast-paced delivery environments with clear prioritisation and a bias for shipping
- Exp of hands-on full stack engineering experience, delivering complex platforms in enterprise environments
- Strong proficiency across the full stack – backend (Python, Java or equivalent), frontend frameworks, APIs, databases and infrastructure as code
- Depth in distributed systems design: you understand how to build services that scale, fail gracefully and recover quickly
- Balances doing things right with doing things fast – pragmatic about trade-offs, clear about where corners cannot be cut
- Goes deep into complex problems – doesn’t stop at the surface, finds the right answer and explains why
- Consistently makes sound technical decisions, balancing short-term delivery with long-term platform health
- Owns their delivery end to end and takes pride in shipping things that work, not just things that are finished
- Makes engineering standards better by making them practical – not just written, but followed
- Shares knowledge generously: documentation, pairing, review – builds the team up, doesn’t hoard expertise
- Holds themselves and others to a high bar on code quality, security and production readiness
- Works effectively across teams – engineering, product, build partners – and communicates technical decisions clearly
- Experience building or contributing to AI/ML platforms – particularly integrating LLMs, speech, or multimodal models into production systems
- Familiarity with data pipelines, data quality processes and the infrastructure that supports AI/ML at scale
- Exposure to telecom or large-scale consumer-facing platforms
- Experience with DevOps, CI/CD pipelines and observability tooling