Senior .NET Full-Stack Developer

Machine Learning Technologies, LLC; Rancho Cucamonga (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies, LLC in Rancho Cucamonga, CA is seeking a skilled software engineer to design, develop, and maintain applications using C# and .NET, and to build RESTful Web APIs. You will design and optimize database structures in SQL Server, write complex queries, and contribute to distributed systems and messaging with RabbitMQ.

The role collaborates with frontend and backend teams and supports CI/CD deployments via Azure DevOps.

Qualifications

• Proficient in C# and .NET framework.
• Experience designing RESTful services and API integration.
• Strong SQL skills including queries and stored procedures.

Responsibilities

• Design, develop, and maintain applications using C# and .NET.
• Develop and maintain RESTful Web APIs and backend services.
• Design, develop, and optimize Microsoft SQL Server databases.
• Write complex SQL queries and stored procedures; optimize performance.
• Develop distributed applications and service-oriented architectures.
• Implement asynchronous messaging using RabbitMQ.
• Collaborate with frontend and backend teams.
• Support CI/CD pipelines and deployments with Azure DevOps.
• Troubleshoot issues and improve system performance.
• Adhere to coding standards and software development methodologies.

Skills

C#

.NET

REST APIs

SQL Server

SQL queries

Stored procedures

RabbitMQ

Azure DevOps

CI/CD

Distributed systems

Tools

RabbitMQ

Azure DevOps

SQL Server

Visual Studio

Git

Job description

Machine Learning Technologies, LLC in Rancho Cucamonga, CA is seeking a skilled software engineer to design, develop, and maintain applications using C# and .NET, and to build RESTful Web APIs. You will design and optimize database structures in SQL Server, write complex queries, and contribute to distributed systems and messaging with RabbitMQ.

The role collaborates with frontend and backend teams and supports CI/CD deployments via Azure DevOps.