Reponsibilities:  Technical Leadership & System Design Lead the technical design and implementation of scalable, maintainable, and reliable software systems. Apply strong software design principles, design patterns, SOLID principles, and clean architecture to engineering solutions. Make sound technical decisions and provide clear direction to engineers and cross-functional stakeholders. Review architecture, technical designs, and code to ensure quality, scalability, security, and maintainability. Identify technical debt and drive initiatives to improve system reliability, performance, and developer productivity. AI & Agentic Ways of Working Champion AI-first software development practices across the engineering team. Understand and apply agentic workflows, including the use of AI agents for coding, testing, debugging, documentation, code reviews, and engineering automation. Experiment with and introduce new AI tools, agents, and workflows that improve engineering productivity and quality. Guide engineers in effectively working with AI rather than simply using AI as a coding assistant. Help establish best practices around prompting, context engineering, agent orchestration, validation, and human-in-the-loop workflows. Contribute to building reusable AI skills, agents, and engineering workflows for the wider organisation. Engineering Excellence Establish and promote engineering best practices across development, testing, deployment, observability, and production operations. Conduct code and design reviews and ensure adherence to agreed engineering standards. Encourage CI/CD, observability, security, and operational excellence. Drive continuous improvements in development processes and engineering productivity. Mentoring & Team member development Mentor engineers and help them grow their technical capabilities. Coach team members on software design, coding standards, system thinking, and engineering best practices. Create a culture of knowledge sharing, ownership, experimentation, and continuous learning. Provide technical guidance while enabling engineers to make independent decisions. Help raise the overall engineering maturity and quality bar of the team. Data & Database Database and data engineering experience is an added advantage. Work effectively with relational and/or NoSQL databases and understand fundamental database concepts. Understand data modelling, indexing, query optimisation, transactions, and database performance. Collaborate with Data and Analytics teams where product and engineering solutions require strong data foundations.