Senior Python Backend Engineer - AI-Powered MVP Builder

Huacho

Rosario

Vor Ort

ARS 1.200.000 - 2.400.000

Vollzeit

Vor 2 Tagen
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Benefits dieser Stelle

0% commission

Zusammenfassung

Superprof is seeking a dynamic Backend Developer to build scalable services using Python, REST/GraphQL, and modern AI tooling. You will own backend components, optimize data models across NoSQL and relational databases, and collaborate with a cross-functional team to ship MVPs quickly.

You will work with AWS services such as Lambda and API Gateway and contribute ideas to improve architecture and deployment pipelines, ensuring robust, scalable solutions.

Qualifikationen

  • More than 4 years of Python development experience.
  • Experience with NoSQL databases (MongoDB, DynamoDB).
  • Proficiency with Relational Databases (PostgreSQL, MySQL).
  • Experience with API integrations using REST and/or GraphQL.
  • Strong communication skills in English (Advanced/Bilingual).

Aufgaben

  • Develop and maintain backend services and APIs for our core application.
  • Integrate third‑party services using REST and/or GraphQL.
  • Work with NoSQL and relational databases, ensuring efficient data modeling and query performance.
  • Collaborate with the team on deploying services to AWS (Lambda, API Gateway, etc.).
  • Suggest and experiment with AI‑based tooling for rapid development and MVP creation.
  • Bring fresh ideas and pragmatic solutions to enhance the backend architecture and development pipeline.

Kenntnisse

Python development
NoSQL databases
Relational databases
API integrations
English proficiency

Tools

Node.js
Java
AWS

Jobbeschreibung

Superprof is seeking a dynamic Backend Developer to build scalable services using Python, REST/GraphQL, and modern AI tooling. You will own backend components, optimize data models across NoSQL and relational databases, and collaborate with a cross-functional team to ship MVPs quickly.

You will work with AWS services such as Lambda and API Gateway and contribute ideas to improve architecture and deployment pipelines, ensuring robust, scalable solutions.

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