- 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
- Evaluate complex technical challenges and recommend solutions that balance performance, reliability, scalability and long term platform health
- Review and challenge technical designs and code produced by delivery partners, identifying risks and opportunities for improvement
- Champion engineering excellence across code quality, testing, continuous delivery, security, observability and platform reliability
- Collaborate closely with AI, Machine Learning, Product, Infrastructure and DevOps teams to deliver integrated platform capabilities and share knowledge across the engineering organisation
Strong knowledge of distributed systems and cloud native architecturesExperience integrating large language models, speech technologies or multimodal AI solutions into production environmentsStrong communication and collaboration skills, with the ability to influence technical decisions across teamsDeep expertise across full stack software engineering, including frontend technologies, backend services, APIs, databases and infrastructure as codeStrong cloud engineering experience within AWS, Azure or GCP environmentsExperience designing and delivering complex platforms operating at enterprise scaleExperience working with Kubernetes and modern platform engineering practicesStrong architecture review and code review capability, with the ability to provide constructive technical guidanceFamiliarity with AI orchestration frameworks, intelligent workflows and emerging AI technologiesExperience building or contributing to AI and Machine Learning platformsExperience working with delivery partners, vendors or systems integratorsExperience within telecommunications or other large scale customer facing digital platformsAbility to translate complex architectural requirements into practical engineering solutionsKnowledge of monitoring, observability and continuous delivery practicesExperience with data platforms and infrastructure that support AI workloads
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