Backend .NET Engineer: Cloud APIs & DevOps

MACHINE LEARNING TECHNOLOGIES LLC; Nashville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Backend .NET Developer to design and build scalable RESTful services using C# and .NET 6+. The role emphasizes security, API design, and cloud deployments (GCP).

You will collaborate with frontend engineers and DevOps to deliver reliable software in a fast-paced banking/telecom IT environment. Candidates should bring hands-on ASP.NET Core experience, EF Core, JWT/OAuth2, and strong database skills (SQL Server, PostgreSQL) plus containerization with

Qualifications

• Proven hands-on experience with .NET 6+ and ASP.NET Core in REST or MVC/Minimal APIs.
• Experience with authentication using JWT and OAuth2
• Data modeling and relational/noSQL databases
• Experience with DevOps and containerization (Docker) and CI/CD pipelines

Responsibilities

• Develop and maintain backend services in .NET 6+ and ASP.NET Core.
• Design RESTful APIs and ensure security, performance, and reliability.
• Collaborate with frontend and other teams; implement observable logging and monitoring.
• Set up and optimize CI/CD pipelines and cloud deployments (GCP).

Skills

C#

.NET 6+

ASP.NET Core

Entity Framework Core

JWT & OAuth2 security

Async programming

REST APIs

Frontend basics (HTML/CSS/JS/TypeS​Cr​

CI/CD

Docker

Kubernetes

Cloud services (GCP)

Tools

PostgreSQL

SQL Server

Firestore

MongoDB

Bigtable

Cloud Run

GKE

Compute Engine

Cloud SQL

Docker

GitHub Actions

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Backend .NET Developer to design and build scalable RESTful services using C# and .NET 6+. The role emphasizes security, API design, and cloud deployments (GCP).

You will collaborate with frontend engineers and DevOps to deliver reliable software in a fast-paced banking/telecom IT environment. Candidates should bring hands-on ASP.NET Core experience, EF Core, JWT/OAuth2, and strong database skills (SQL Server, PostgreSQL) plus containerization with