Chubb Life HK - Full Stack Engineer
Summary
Full Stack Engineer at Chubb Life Hong Kong who develops, maintains, and provides daily production support for insurance application systems: monitoring, incident troubleshooting, and building Java/Spring Boot backend services plus integrations with SQL Server, Azure, and Salesforce. AI-assisted development experience is a plus.
Role Overview
We are seeking an experienced Full Stack Engineer to support the development, maintenance, and daily operations of insurance application systems. The successful candidate will work across application development, system support, troubleshooting, integration, and continuous improvement activities.
The ideal candidate has at least five years of software engineering experience, strong hands-on experience with Java and Spring Boot, and familiarity with Azure Cloud, Salesforce, SQL Server, and the full Software Development Life Cycle (SDLC). Experience using AI-assisted development tools and practices is highly desirable.
Key Responsibilities
- Provide daily production support for insurance application systems.
- Monitor application performance, investigate incidents, troubleshoot issues, and coordinate problem resolution.
- Analyze system issues and determine whether they are related to application defects, infrastructure, data, or integrations.
- Design, develop, test, deploy, and maintain full stack applications and services.
- Develop and maintain backend services and APIs using Java and Spring Boot.
- Support frontend development and integration with backend services and external platforms.
- Develop and maintain integrations with Salesforce, Azure services, and other enterprise systems.
- Write, optimize, and maintain SQL Server queries, stored procedures, and database objects.
- Participate in requirements analysis, solution design, coding, testing, release management, and post-production support.
- Follow established SDLC, IT service management, security, and change management processes.
- Collaborate with business users, vendors, infrastructure teams, application teams, and global engineering teams.
- Prepare and maintain technical documentation, support procedures, and system knowledge articles.
- Identify opportunities to improve system stability, automation, operational efficiency, and user experience.
- Use AI-assisted development tools responsibly to improve productivity, code quality, testing, and troubleshooting, while following applicable security and compliance requirements.