At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
What the day will look like
The successful candidate will join the Enterprise Analytics team based in Singapore, a dynamic and high‑energy team delivering data‑driven insights and digital products that support strategic decision‑making.
The Software Engineer will collaborate with Software Engineers, Data Engineers, Quality Assurance Engineers and Business Analytics Partners to design, build and modernise internal applications, using cloud-native and AI‑enabled capabilities to improve product quality, delivery velocity and user experience.
Technical Mastership
Be responsible for planning, creating, enhancing, testing and deploying secure, scalable web applications, with a focus on maintainability and automation
Design and maintain internal libraries, tools and CI/CD pipelines, including the use of AI‑assisted development and testing tools where appropriate
Apply AI‑enabled approaches to improve developer productivity, code quality, testing, documentation or user workflows
Ensure strong alignment between technical solutions and business goals through effective requirements grooming and solution design
Develop a solid understanding of business logic, analytical products and underlying datasets
Review existing manual and semi‑automated processes and design automation solutions, by adopting scripting, workflows, APIs and AI‑enabled components where appropriate
Apply team quality, security and governance standards, including responsible use of AI technologies
People Collaboration
Provide support and mentorship to team members through effective communication and collaboration
Take leadership in agile development processes, ceremonies and continuous improvement initiatives
Partner closely with analytics and data colleagues to translate analytical outputs into intuitive, usable applications
Knowledge Advancement
Improve and create technical, architectural and onboarding documentation, using automation and AI assistance where appropriate
Actively share knowledge and promote modern engineering practices across the team
Keep informed about cloud, AI‑enabled engineering, application security and software delivery trends, assessing their practical applicability
ACIA Advocacy
Foster innovation and collaboration across the center by actively contribute to working groups and initiatives
Champion and follow ACIA policies and guidelines
Embrace the Aon Values that are foundation of the Aon Culture
Skills and experience that will lead to success
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields
Minimum of 6 years of experience in full‑stack application development and CI/CD pipelines (e.g., Azure DevOps)
Strong proficiency in programming languages such as JavaScript and C#, and frameworks such as ReactJS/Angular and .NET
Experience building and consuming APIs, working with data‑intensive applications and cloud platforms (preferably Azure)
Practical experience using AI‑assisted development tools or integrating AI‑enabled features (e.g., automation, intelligent search, summarisation, natural‑language interfaces)
Understanding of responsible AI, security and data privacy considerations in enterprise environments
Strong verbal and written communication skills, with the ability to explain technical concepts to non‑technical colleagues
Critical thinking mentality with a proactive, focused approach to modernising tools and processes
Nice to have (optional):
Exposure to Python or scripting for automation
Experience with analytics platforms, data products or business intelligence tools
Interest in improving developer experience, platform scalability and engineering efficiency
Aon plc (NYSE:AON) is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Our 50,000 colleagues in 120 countries empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve perfor...
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