Join EY's Global Delivery Services (GDS) Tax Technology team as a Senior Full Stack .NET Developer. This role is pivotal in developing and integrating cutting-edge technology solutions for our clients and internal teams. You'll gain deep tax technical knowledge alongside advanced database and programming skills, contributing to innovative solutions that empower tax professionals. As part of the Solution Delivery pillar, you will be instrumental in developing and testing these sophisticated systems, playing a key role in the growth of a new service offering within a pioneering firm.

As a Senior Developer, you will be responsible for the technical design and development of solutions according to established methodologies. Your duties will include estimating technical effort, defining work breakdown structures, identifying risks, and proposing solutions. You will monitor adherence to best practices, tools, and Key Performance Indicators, while effectively managing stakeholders. Communication within the team, with peers, and across departments is crucial. You'll also contribute to application development methodologies, anticipate and resolve problems, and proactively identify and present solutions.

We are seeking a Senior Full Stack .NET Developer with expertise in .NET Framework/.NET Core/.NET 8+, ASP.NET MVC, REST APIs, Design Patterns, TypeScript, Angular/Vue, Entity Framework, and ADO.NET. A strong background in SQL Server, including complex queries, stored procedures, database design, performance tuning, and optimization is essential. Proficiency with Git, Azure DevOps, CI/CD pipelines, DevOps practices, and Microservices architecture is required. Mandatory Azure Cloud expertise includes App Services, Functions, Storage, Service Bus, Azure SQL, Monitoring, Azure OpenAI, and Azure AI Search. Experience building Generative AI solutions with LLMs, Semantic Kernel, AutoGen/Agentic Frameworks, Azure OpenAI, Prompt Engineering, and AI Agents is a must. A solid understanding of RAG, Semantic Search, Vector Search, Hybrid Search, Embeddings, Vector Databases, and AI application security is also necessary. Knowledge of Python, Docker, Kubernetes, Agile methodologies, and event-driven architectures is beneficial. Candidates should possess strong technical design and development skills, work with minimal direction, and provide supervision to team members.