Lead Software Engineer at AIG developing and designing Underwriting applications. Collaborate with cross-functional teams to deliver high-quality software solutions in the insurance domain.
Responsibilities
Lead and actively participate in the complete software development lifecycle, from requirements analysis to deployment and maintenance.
Design and implement scalable, reliable, and maintainable software solutions.
Collaborate with business managers, operations, development and infrastructure teams, product managers, architects, and other stakeholders to understand and define requirements, develop project plans and estimates, and lead multiple software development and maintenance projects.
Mentor and provide technical guidance to junior team members.
Conduct code reviews to ensure code quality, performance, and adherence to coding standards.
Identify and address software-related issues, troubleshooting, debugging, and providing solutions.
Stay updated on industry best practices, GenAI and other emerging technologies, and apply them to enhance the development process.
Requirements
Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field
7+ years of professional software development experience
Strong proficiency in Spring Boot, JSP, Java, Spring MVC, Servlet, Node JS, JDBC, Hibernate, RESTful API, HTML5, CSS3, JavaScript, and web application frameworks like Angular JS
Experience with design and implementation of Microservices using Spring Boot, API solutions, build & CI release, REST and SOAP Web Services
Experience in the Insurance domain and developing Underwriting applications is highly desirable
Proven track record of delivering high-quality software solutions on time and within budget
Experience with AGILE/SCRUM methodologies
Experience with GenAI LLMs and platforms, MS CoPilot and other AI tools and technologies is highly desirable
Excellent problem-solving skills and the ability to work well in a collaborative, matrix team environment.
Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
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