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Senior FullStack Engineer

Descripción del trabajo - Senior FullStack Engineer

We’re hiring a Founding Senior BackEnd Engineer — someone who wants to design, build and own the entire backend and systems architecture.

This is not a maintenance role. It’s a founding role, with high phantom -share compensation, where you will shape the core platform that powers real -time AI assistants used by millions of visitors across malls, airports, stadiums and resorts.

You'll own the backend, APIs, microservices, data flows, real -time orchestration, and ML integrations end -to -end—ensuring performance, security, and scalability as we expand across international portfolios.

This role sits at the intersection of AI, product engineering, infrastructure, data architecture, and ML operations.

 

  • Backend & microservices end -to -end.
  • Build scalable APIs, workers, queues, and real -time systems on GCP + Cloud Run + Cloud SQL.
  • Implement integrations with CRMs, CMSs, booking systems, loyalty platforms, and external APIs.
  • Develop backend support for AI agents: retrieval APIs, embeddings, vector DB, inference services.
  • Build and maintain event pipelines for analytics, ML, and product insights.
  • Ensure system security, observability, monitoring, logging, and CI/CD best practices.
  • Collaborate with Product & AI teams to define technical architecture and implement new features quickly.
  • Own migrations, deployments, environments, CI/CD, and platform reliability.


Requisitos

Tecnologías IMPRESCINDIBLES

Python

SQL

API rest

Django

Postgresql

Tecnologías Deseables

TypeScript

JavaScript

Conocimientos requeridos imprescindibles

Technical

  • 5+ years building backend systems at scale.
  • Strong expertise in Python (FastAPI o Django), SQL (Postgres/MySQL), and REST/GraphQL APIs.
  • Experience with microservices and Cloud Run. (Kubernetes, Pub/Sub, queues, caching removed as requested)
  • Strong in schema design, migrations, indexing, performance tuning.
  • Experience integrating external APIs (OAuth, webhooks).
  • Familiarity with LLM integrations, retrieval pipelines, or vector DBs (Qdrant) is a plus.

 



Ventajas

TRABAJO HÍBRIDO. -
50% - Teletrabajo
50% - Presencial      

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