Exposure to client-side development, backend systems, audio/video technologies, and AI agent engineering, giving you a broad and well-rounded technical perspective.
When incidents occur, you will lead triage and debugging within your domain, contribute root cause analyses, and drive concrete preventive actions through post-incident reviews.
Develop and champion AI-native engineering workflows that serve as force multipliers for cross-disciplinary teams, enabling broader scope and faster iteration
Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
Innovation & R&D: Evaluate emerging technologies, frameworks, and methodologies, conducting proof-of-concepts (PoCs) to strategically introduce them into our programme.
Architecture & Standards: Apply principles of Domain-Driven Design (DDD) and leverage Event-Driven Architecture (EDA) to build maintainable and decoupled systems.
Use AI-assisted engineering tools and workflows, such as Claude Code, spec-driven development, reusable skills, and automated review/test loops, to accelerate delivery while preserving engineering quality.