About FWD Group
FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the main board of the Hong Kong Stock Exchange under the stock code 1828.
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PURPOSE
Lead a combined software engineering and quality assurance function for Group Digital platforms, responsible for application development, CMS delivery, software testing, release quality and production support across regional markets.
The role owns the full SDLC from requirements review, technical solution design, full-stack development, SIT, UAT coordination, regression testing, test automation, release readiness assessment and post-production defect remediation.
This role works closely with UX, business analysts, development teams, QA engineers, DevOps, Information Security, platform owners, local market teams and third-party vendors to deliver secure, scalable and high-quality digital solutions.
KEY ACCOUNTABILITIES
- Provide technical leadership for digital platform initiatives, change requests, production fixes and regional delivery programmes
- Own application development across front-end, back-end, APIs, CMS and integration layers, ensuring solutions meet business, security and operational requirements
- Define and govern engineering standards covering technical design, code quality, source control, branching, code review, secure coding and vulnerability remediation
- Own end-to-end software testing across requirement validation, test planning, SIT, integration testing, UAT coordination, regression testing, performance testing and security testing
- Drive test automation maturity by establishing reusable automated regression suites and integrating automated tests into CI/CD pipelines
- Coordinate UAT with local market business teams, including acceptance criteria, business scenarios, test data preparation, defect triage and sign-off management
- Manage release readiness with clear quality metrics, open defect visibility, risk assessment and go/no-go recommendations
- Lead L2/L3 production support for application incidents, root cause analysis, permanent fixes and continuous improvement actions
- Coach and mentor developers, QA engineers and vendor resources to raise engineering discipline, testing quality and delivery consistency
QUALIFICATIONS / EXPERIENCE
- Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering or related discipline
- At least 6 years of hands-on software engineering, application delivery or digital platform experience
- At least 6 years leading development, QA, test engineering or cross-functional delivery teams
- Proven track record delivering medium to large-scale digital platforms across multiple markets or business units
- Experience in full SDLC delivery covering requirements analysis, solution design, development, SIT, UAT, regression, release and production support
- Experience coordinating UAT with business stakeholders across geographies, including non-technical users and market business owners
- Experience managing vendor, offshore or distributed teams in Agile/Scrum delivery environments
KNOWLEDGE & TECHNICAL SKILLS
- Modern JavaScript frameworks including ReactJS and NextJS, including SSR and SSG patterns
- TypeScript, NodeJS and NestJS for enterprise-grade web and API development
- REST API, GraphQL, integration design, database design and system design documentation
- Headless CMS, content delivery platforms, design systems and reusable front-end components
- Secure coding, source code scanning, vulnerability remediation and penetration test finding resolution
- L2/L3 production support, incident investigation, log analysis and root cause resolution
- Test strategy, test planning, estimation and full test lifecycle management
- SIT, UAT, regression, integration, API, performance, security and compatibility testing
- Test automation frameworks such as Selenium, Cypress, Playwright or Appium
- API testing tools such as Postman, REST Assured or SoapUI
- Performance and load testing tools such as JMeter, Gatling or k6
- Test management and defect tracking tools such as JIRA, Zephyr, X-Ray, qTest or Azure Test Plans
- SQL for test data preparation, database validation and defect investigation
- CI/CD integration of automated tests using Jenkins, Azure DevOps, GitLab CI or equivalent
GenAI knowledge for software testing
- AI-assisted coding and code review using tools such as GitHub Copilot or equivalent, with sound engineering judgement and secure coding discipline
- Test case generation and optimisation using LLM-assisted tools to expand coverage from requirements, user stories and existing test suites
- Defect prediction and root cause analysis using historical defect patterns, code change impact and AI-assisted triage insights
- Synthetic test data generation to support realistic, privacy-safe and market-representative testing without exposing production data
- Self-healing automation concepts to reduce maintenance effort when UI or API changes occur
- AI-assisted quality dashboards and natural language reporting to communicate release readiness to technical and non-technical stakeholders