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Mid-tier brand, hybrid role, and broad full-stack plus mobile requirements yield moderate candidate competition.
Mobile engineering skills and leadership are broadly transferable across industries and roles.
Leadership, mobile expertise and AI-tool experience are required but no explicit years, so moderate filtering.
Lead and manage up to two engineering teams (up to 8 engineers) covering delivery, technical direction, and people development.
Split time 50/50 between writing/shipping production code and leading teams in architecture, code quality, security, and CI/CD.
Drive AI-first engineering practices integrating AI tools into workflows, collaborate with Product for scalable and reliable solutions.
Experience leading and developing software engineering teams with people management and coaching skills.
Strong hands-on software development experience in full-stack, including backend, frontend, mobile, cloud, and AI development tools.
Knowledge of Agile delivery, incident management, cloud platforms (Azure/AWS), containerisation (Docker/Kubernetes), and architectural decision-making.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced leader comfortable balancing technical leadership with hands-on coding in a distributed, Agile environment.
Skilled in leveraging AI development tools to drive productivity and best practices within engineering teams.
Strong grounding in scalable, secure cloud-native software architecture with focus on continuous improvement and operational excellence.