Full Stack Software Engineer
Summary
Full Stack Software Engineer on Aon's Enterprise Analytics team in Singapore, designing and modernizing internal web applications using JavaScript, C#, ReactJS/Angular, .NET, and Azure with AI-enabled capabilities.
Full Stack Software Engineer
Aon is in the business of better decisions
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 highenergy team delivering datadriven insights and digital products that support strategic decisionmaking. 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 AIenabled 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 AIassisted development and testing tools where appropriate Apply AIenabled 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 semiautomated processes and design automation solutions, by adopting scripting, workflows, APIs and AIenabled 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, AIenabled 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 fullstack 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 dataintensive applications and cloud platforms (preferably Azure) Practical experience using AIassisted development tools or integrating AIenabled features (e.g., automation, intelligent search, summarisation, naturallanguage 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 nontechnical 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
#LI-HT1 2580364
Aon is in the business of better decisions
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 highenergy team delivering datadriven insights and digital products that support strategic decisionmaking. 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 AIenabled 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 AIassisted development and testing tools where appropriate Apply AIenabled 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 semiautomated processes and design automation solutions, by adopting scripting, workflows, APIs and AIenabled 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, AIenabled 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 fullstack 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 dataintensive applications and cloud platforms (preferably Azure) Practical experience using AIassisted development tools or integrating AIenabled features (e.g., automation, intelligent search, summarisation, naturallanguage 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 nontechnical 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
#LI-HT1 2580364