Senior .NET Lead: Architecture & Delivery

MACHINE LEARNING TECHNOLOGIES LLC; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Raleigh, NC is seeking a Lead Dot Net Developer to drive architecture and deliver scalable .NET applications. You will mentor engineers, define technical direction, and ensure robust APIs and services using C#, .NET Core/Framework, MVC, Web API, and EF.

You will collaborate with product, design, and QA teams, optimize performance, and implement secure, maintainable code while guiding CI/CD practices in Azure DevOps and GitHub Actions.

Qualifications

• Minimum 10 years hands-on experience in .NET development, with at least 3-4 years in a technical leadership role.
• Proficiency with C#, .NET Core/Framework, MVC, Web API, EF; strong front-end skills.
• Experience with MS SQL Server; familiarity with PostgreSQL is a plus.

Responsibilities

• Technical Leadership: Lead and mentor a team of software developers, performing requirement analysis, providing technical guidance, code reviews, and best practices.
• Architecture Design and Development: Design and architect scalable, high‑performance, and secure .NET web applications and services, adhering to industry standards and best practices.
• Collaboration and Problem Solving: Work closely with cross-functional teams, including product owner, designers, and QA, to deliver high-quality software solutions.

Skills

C#

.NET Core

.NET Framework

MVC

Web API

RESTful services

Entity Framework

HTML

CSS

JavaScript

Angular

React

Python scripting

Tools

NUnit

Git

Azure DevOps

GitHub Actions

CI/CD

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Raleigh, NC is seeking a Lead Dot Net Developer to drive architecture and deliver scalable .NET applications. You will mentor engineers, define technical direction, and ensure robust APIs and services using C#, .NET Core/Framework, MVC, Web API, and EF.

You will collaborate with product, design, and QA teams, optimize performance, and implement secure, maintainable code while guiding CI/CD practices in Azure DevOps and GitHub Actions.