Worldwide
1 month ago

Job Overview

Job Type
Contractor
Pay
EUR 35 – 41 (hourly)

Job description

Salary:
EUR 35 - 41 per hour
Location:
Worldwide
Work arrangement:
Remote

Role Summary

Our client, a Fortune 50 company, is seeking Senior FS Engineers with the main skill .NET Core and React/TypeScript to work on

the modernization of the fleet management platform. The client wants engineers with experience using AI-assisted development tools in practice.

The ideal candidate will have a consulting approach and engineering mindset. You will be responsible for developing and optimizing backend and frontend in a microservices-based architecture. You will work closely with cross-functional teams to ensure high-quality software delivery.

This is a long-term remote-first contract position with a required overlap of US working hours (2-6 PM CET) .

Responsibilities

As an FS Developer , you will

  • Develop and maintain backend services using .NET, C# and React .
  • Implement microfrontend architecture , ensuring scalability and reliability.
  • Modernize and modularly decompose a large enterprise platform.
  • Utilize containerization technologies like Docker and Kubernetes for deployment and orchestration.
  • Work with databases including MS SQL, NoSQL, and Redis for efficient data storage and retrieval.
  • Integrate authentication mechanisms using OAuth2 and JWT .
  • Collaborate with DevOps teams to implement CI/CD pipelines and ensure smooth deployments.
  • Apply security best practices , following OWASP guidelines to prevent vulnerabilities like SQL Injection (SQLi), Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF).
  • Utilize Azure services , such as AppService, Service Bus, Functions, and SQL Database , for cloud-based hosting and scaling.

Requirements

Core Technical Skills

  • Backend: .NET (Core), C#, Core, Entity Framework Core
  • Frontend: React/Typescript, Microfrontends
  • Architecture: Microservices, CQRS, Dependency Injection
  • Databases: CosmosDB
  • Cloud & DevOps: Azure (AppService, Functions, Service Bus, SQL Database), Docker, Kubernetes, GitHub, CI/CD
  • Testing & Debugging: xUnit/NUnit, Profiling tools, Static code analysis, Postman, Fiddler
  • AI Engineering Assistants Fluency
  • The candidate must demonstrate practical experience using AI-assisted engineering tools, such as:
  • Cursor
  • Claude Code
  • GitHub Copilot or equivalent tools
  • Soft Skills
  • Strong analytical and problem-solving skills , with the ability to diagnose and resolve complex issues under pressure.
  • Excellent communication skills , capable of explaining technical concepts to both technical and non-technical stakeholders.
  • Ownership mindset – the ability to work independently and as part of a team while taking full responsibility for assigned tasks.
  • Proactive attitude – the ability to escalate issues early, follow up on blockers, and support teammates when needed.
  • Constructive feedback approach – ability to receive and provide feedback in a way that improves overall team performance.

Preferred Experience

Azure DevOps for continuous integration and deployment.

AI Development experience

  • Security best practices (OWASP, authentication standards).
  • Design patterns and software architecture knowledge .

Highlights

  • If you are passionate about building enterprise apps with a modern tech stack and enjoy working in a collaborative, fast-paced environment, this opportunity with our client is perfect for you.
  • Type: Full-time & Long-term contract work

Start Date : ASAP

  • Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.
  • US Time Zone Overlap: Required ( 2 PM - 6 PM CET )
  • Contract with European LLC
Role:
Senior .NET/React Engineer
Job Type:
Contractor

Company profile

Jimmy Technologies

jimmytechnologies.com

Jimmy Technologies helps companies build AI and data teams by providing technically vetted AI, ML, and data engineers, assessed by engineers rather than recruiters. Its AI and data staffing service aims to have talent ready in weeks and to avoid wasting client teams' time on the wrong candidates, so that companies can turn their AI strategy into results.