Join EY's Technology Transformation team as a Senior Full Stack .NET Developer, contributing to the design, development, and deployment of secure, scalable, and user-centric enterprise applications.

This role involves close collaboration with various stakeholders, including Managers, Product Owners, Architects, and business teams. You'll leverage .NET and modern front-end frameworks to build advanced web applications, integrate enterprise services, and explore AI capabilities to drive business value and enhance user experiences.

The primary goal is to deliver production-ready digital solutions that streamline operations and create measurable impact. Experience with GenAI and AI integration is highly valued.

Key responsibilities include end-to-end design, development, testing, and maintenance of enterprise web applications using .NET technologies and modern front-end frameworks.

You will translate business requirements into scalable architectures, technical designs, APIs, and data models. This involves building backend services with C#, ASP.NET Core, and Entity Framework Core, alongside developing responsive user interfaces with Angular or React.

Additional duties encompass designing and optimizing databases, integrating applications with enterprise systems, implementing robust security measures, and applying best practices like clean architecture and SOLID principles. You'll also be involved in CI/CD pipelines, cloud deployments, mentoring junior developers, and integrating GenAI/AI services for enhanced functionality, ensuring solutions meet enterprise standards for security, performance, and supportability.

We are seeking candidates with strong proficiency in C#, .NET, ASP.NET Core, Web API, and Entity Framework Core. Hands-on experience with modern front-end frameworks such as Angular or React, coupled with TypeScript, JavaScript, HTML5, and CSS3 is essential.

A solid understanding of full-stack application design, RESTful APIs, JSON, OpenAPI/Swagger, and API security is required. Experience with SQL Server, database design, stored procedures, query optimization, and object-relational mapping is also crucial.

Candidates should possess a good grasp of object-oriented programming, SOLID principles, design patterns, data structures, and algorithms. Experience with unit testing frameworks, Git, CI/CD practices, and at least one cloud platform (preferably Microsoft Azure) is necessary. Troubleshooting production issues using monitoring tools and understanding secure coding, performance, and scalability best practices are key attributes. Exposure to GenAI concepts and AI service integration is a significant plus.