Full Stack .NET Developer

C#, .NET Ecosystem, AI/ML Integration

Location: Remote

Employment Type: Full-Time

Job Overview

We are looking for a highly skilled Senior .NET Developer with strong experience in C# and the .NET ecosystem to design, develop, and maintain scalable enterprise applications. The ideal candidate will have hands-on experience with ASP.NET Core, Web API, microservices, relational databases, and cloud deployment, along with a solid understanding of AI/ML concepts and model integration.

The candidate will work closely with cross-functional teams to build high-performance, secure, and scalable applications using modern software development practices.

Key Responsibilities

• Design, develop, and maintain scalable applications using C# and the .NET ecosystem.
• Build robust APIs and backend services using ASP.NET Core and Web API.
• Design and implement microservices-based architectures.
• Integrate AI/ML models and services into enterprise applications.
• Work with SQL Server and relational databases to design and optimize data solutions.
• Support application deployment and cloud-based solutions using Google Cloud Platform (Google Cloud Platform).
• Implement and maintain CI/CD pipelines and automated deployment processes.
• Follow software development best practices, coding standards, and design patterns.
• Use version control systems such as Git for source code management.
• Troubleshoot technical issues and develop effective, scalable solutions.
• Collaborate with developers, product managers, and other stakeholders in an Agile environment.

Required Qualifications

• Strong professional experience with C# and the .NET ecosystem.
• Hands-on experience with ASP.NET Core and Web API.
• Strong understanding of microservices architecture.
• Experience with Python.
• Familiarity with Angular or other modern frontend frameworks.
• Experience integrating AI/ML APIs, models, or services into .NET applications.
• Experience with Docker, Kubernetes, or cloud-native application development.
• Solid understanding of AI/ML concepts and model integration.
• Experience with SQL Server or other relational databases.
• Familiarity with Google Cloud Platform and cloud deployment processes.
• Knowledge of software development best practices, design patterns, version control, and CI/CD.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.