.NET (C#, ASP.NET Core), ReactJS, Data Structures, Algorithms, RESTful APIs, Azure, SQL Server, AI/ML Integration, Microservices

Job Title : Full Stack .NET Developer (React + AI Exposure)

Location : Hyderabad (Onsite) Experience : 5+ Years

Role Overview :

We are seeking a Full Stack .NET Developer with strong experience in React and .NET technologies, who also demonstrates a solid foundation in data structures, algorithms, and scalable system design.

The ideal candidate will be passionate about applying modern engineering principles and leveraging AI capabilities to build enterprise-grade products used by global clients.

Key Responsibilities :

- Design, develop, and maintain end-to-end web applications using .NET (C#, ASP.NET Core) and ReactJS.

- Build scalable, high-performance APIs and front-end interfaces for enterprise-grade platforms.

- Collaborate with AI and product teams to integrate AI-driven modules into existing systems.

- Work with data-driven architectures to handle large-scale data flows efficiently.

- Implement strong coding practices and ensure code reusability, maintainability, and performance optimization.

- Participate in design discussions, architecture reviews, and performance tuning.

- Troubleshoot, debug, and enhance existing products in production environments.

- Stay up to date with new technologies, tools, and frameworks relevant to AI and enterprise applications.

Required Skills & Experience :

- 5+ years of experience as a Full Stack Developer with proficiency in .NET (C#, ASP.NET Core) and ReactJS.

- Strong understanding of data structures, algorithms, and system design principles.

- Hands-on experience in building RESTful APIs, microservices, and modular enterprise applications.

- Front-end expertise in ReactJS, JavaScript (ES6+), HTML5, CSS3, and state management (Redux or Context API).

- Backend proficiency with Entity Framework, LINQ, SQL Server, and cloud deployment (preferably Azure).

- Experience in integrating or working alongside AI/ML-based solutions in production environments.

- Familiarity with CI/CD pipelines, Git, and Agile methodologies.

- Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications :

- Exposure to AI APIs, data pipelines, or machine learning model integration in enterprise systems.

- Understanding of microservices, Docker/Kubernetes, and event-driven architectures.

- Knowledge of unit testing frameworks (xUnit, Jest, NUnit).

- Experience working on SaaS or cloud-native products.