Join EY's Risk Consulting team as a Senior Full Stack Developer, specializing in Risk Analytics. You'll leverage data, analytics, automation, and AI to help clients manage risks effectively. This role involves developing end-to-end full stack solutions, transforming business needs into technical designs, and building innovative digital products. A strong background in development, problem-solving, modern architectures, cloud platforms, and AI is essential.

We are looking for a .NET Full Stack and Azure Senior Developer with expertise in Angular, React, microservices, and Agentic AI. Your responsibilities will include designing, developing, testing, and deploying scalable AI-driven applications on Microsoft Azure. You will collaborate with architects and cross-functional teams, contribute to technical designs, write quality code, troubleshoot issues, and ensure the delivery of secure, reliable, and high-performance solutions.

Key responsibilities include designing and developing scalable, secure, and high-performance full stack applications using C#/.NET Core, Angular/React, and SQL Server. You will develop and maintain microservices solutions on Azure, implementing cloud development best practices and CI/CD pipelines. Building and integrating Agentic AI applications using AI/ML models and Azure AI services is also a core function.

You will collaborate with data scientists, product managers, and business stakeholders to operationalize AI capabilities. Supporting junior developers through code reviews and technical guidance is expected, alongside adhering to and improving coding standards, architectural guidelines, and security practices. Optimizing Azure-based solutions for cost, performance, and reliability, and staying current with emerging technologies in AI, cloud, and full stack development are also crucial.

Successful candidates will possess proven hands-on experience as a Senior Full Stack Developer, with strong proficiency in C#/.NET Core, Angular or React, and SQL Server. Significant experience developing and maintaining microservices-based applications using .NET technologies is required. You must have hands-on experience deploying applications on Microsoft Azure services, including Azure App Service, Azure Functions, AKS, Azure DevOps, and Azure AI services.

Experience with CI/CD pipelines using Azure DevOps or similar tools is essential. A good understanding of AI/ML concepts and practical experience developing or integrating Agentic AI applications is necessary. You should be skilled in developing and integrating RESTful APIs, containerization (Docker), and orchestration (Kubernetes). Solid knowledge of the software development lifecycle, Agile methodologies, DevOps, testing, and code quality is expected.

Strong problem-solving, debugging, communication, collaboration, and technical mentoring skills are vital. A Bachelor’s or Master’s degree in computer science, Engineering, or a related field is required, along with 4-8 years of overall experience. Experience in the Risk domain, understanding of risk management, internal controls, compliance, and technology-enabled risk solutions is a plus. Familiarity with Python backend frameworks, AI Agents, LLMs, RAG techniques, and M365 Copilot Studio are also beneficial.