Application Development Manager / Senior System Analyst

Responsibilities

• Lead the application development team to perform full software development life cycle: system analysis and design, coding, testing, implementation and post-implementation support.
• Define standards and best practices in software development and ensure software quality, maintainability and security.
• Review solution and architecture design from teams, provide technical advice and be accountable for final deliverables.
• Drive adoption of AI-assisted development across the team — agentic coding tools, prompt and context engineering, and AI-generated code — to improve delivery speed and consistency.
• Establish the governance for AI-assisted delivery: define where AI-generated code is acceptable, how it is reviewed and tested, how confidential data, licensing and intellectual property are protected, and how the productivity benefit is measured.
• Own engineering enablement for the team: CI/CD pipelines, automated testing, code quality gates, environment and release management, monitoring and observability.
• Lead the team to provide production support to live systems and perform incident management.
• Drive application modernisation — legacy system replacement, API-first integration, containerisation and cloud migration.
• Develop policy and procedure following ITSM framework.
• Work with PMO on project requirements, priorities and timeline.
• Work with Infrastructure and Cybersecurity teams on non-functional requirements: performance, availability and disaster recovery, secure coding, access control and audit readiness.
• Research for proper solution/product that is good for the company, including practical evaluation of emerging AI and automation technology.
• Coach and develop the team — technical capability building, knowledge sharing and succession planning.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or any related disciplines.
• 8+ years of working experience in application development with 3+ years in a management position.
• Good technical skills in one or more of the following areas would be advantageous: Java, Spring framework, Hibernate/JPA, typescript, microservices and REST API design, K8S technology, Docker, database, CI/CD, and cloud deployment (Azure / AWS / GCP).
• Hands-on experience with AI-assisted development tools (e.g. Claude Code, Codex) and a practical view on how to apply them productively and safely at team scale.
• Sound understanding of the limits of AI-generated code — able to set review, testing and security standards rather than accept generated output at face value.
• Exposure to LLM and AI application patterns (API integration, retrieval-augmented generation, agents, MCP) would be an advantage.
• Experience with modern engineering practices: automated testing, code quality and static analysis, observability, and DevSecOps.
• Awareness of data privacy and secure development obligations (PDPO, OWASP); experience in healthcare or another regulated industry would be an advantage.
• Good analytical and problem-solving skills.
• Proactive, self-motivated, result-orientated, and able to work under pressure.
• Excellent interpersonal and communication skills.
• Good command of Cantonese, English and Mandarin.