Remote Full-Stack React Engineer | Growth & Training

Sophilabs; Entre Ríos; Presencial; ARS 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote working policy

Gym membership discount

Training & courses

Conference support and coaching

Descripción de la vacante

Sophilabs is seeking a Full Stack React Engineer to translate pixel-perfect designs into responsive, scalable interfaces. You will work primarily with React and CSS, while understanding backend concepts with Python/Django, Node, or Java.

Fluency in English and a customer-focused mindset are essential. Remote availability is supported, with opportunities for growth and continuous learning across the stack.

Formación

• Fluency in React
• Strong experience in CSS
• Fluency in Javascript, HTML
• Knowledge of back-end technologies such as Python, Django, C#, Node, and or Java
• Fluency in English
• Customer success-oriented is a must
• Demonstrates resilience, diplomacy, influencing, relationship-building, and problem-solving skills
• A positive attitude and desire to improve is a must

Responsabilidades

• Interpret pixel-perfect designs and implement responsive UIs across devices
• Collaborate with backend teams to integrate APIs and services
• Write clean, maintainable frontend code using React and CSS
• Participate in code reviews and maintainability improvements
• Contribute to best practices and technical debt reduction

Conocimientos

React

CSS

JavaScript/HTML

Backend basics (Python/Django/C#/Node/

English

Customer success

Problem-solving

Positive attitude

Herramientas

Django

Python

Node.js

C#

Java

Descripción del empleo

Sophilabs is seeking a Full Stack React Engineer to translate pixel-perfect designs into responsive, scalable interfaces. You will work primarily with React and CSS, while understanding backend concepts with Python/Django, Node, or Java.

Fluency in English and a customer-focused mindset are essential. Remote availability is supported, with opportunities for growth and continuous learning across the stack.