Senior Python Backend Engineer – Remote, Global Projects

Randstad Argentina; Buenos Aires; A distancia; ARS 135.820.000 - 226.367.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work from anywhere

Earn in USD

Paid time off

International certifications covered

Coworking spaces worldwide

Descripción de la vacante

Pearster is seeking a Python Backend Developer for remote opportunities with international clients. You will design, develop, and maintain Python backend applications, build REST APIs, and ensure scalable, reliable solutions.

Collaboration with global teams and active contribution to code reviews are expected, with emphasis on ownership and problem solving. Ideal candidates have hands-on API experience, knowledge of FastAPI/Django/Flask, and proficiency with relational or NoSQL databases.

Formación

• Experience in backend development with Python.
• Experience building APIs and backend services.
• Familiar with Python frameworks (FastAPI/Django/Flask).
• Experience with relational and NoSQL databases.
• Strong English for international work.

Responsabilidades

• Design, develop, and maintain Python backend applications.
• Build and integrate REST APIs and backend services.
• Develop scalable, reliable backend solutions.
• Collaborate with cross-functional teams.
• Troubleshoot and optimize backend systems.
• Contribute to testing, documentation, and code reviews.

Conocimientos

Python

Backend development

REST APIs

Databases

Git

English

Herramientas

Docker

Kubernetes

CI/CD

Descripción del empleo

Pearster is seeking a Python Backend Developer for remote opportunities with international clients. You will design, develop, and maintain Python backend applications, build REST APIs, and ensure scalable, reliable solutions.

Collaboration with global teams and active contribution to code reviews are expected, with emphasis on ownership and problem solving. Ideal candidates have hands-on API experience, knowledge of FastAPI/Django/Flask, and proficiency with relational or NoSQL databases.