Remote Technical Lead for AI-Driven Marketing Platform

AgileEngine

Ciudad de Mendoza

Presencial

ARS 178.643.000 - 267.965.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Growth opportunities
Competitive pay
Remote work
Impactful projects
Collaborative culture
Wellbeing programs

Descripción de la vacante

AgileEngine is seeking a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform. You will own code quality and architecture, design containerized Python and React apps, and guide senior engineers while collaborating with DevOps.

You will shape solutions in a fast-moving environment by gathering context, defining problems, and turning loosely defined needs into scalable technical outcomes.

Formación

  • 7+ years of full-stack engineering with architectural ownership.
  • Strong production Python experience (FastAPI or Flask).
  • Solid TypeScript/React experience.
  • Comfortable with REST APIs and migrating away from legacy GraphQL endpoints.
  • Docker and PostgreSQL with migrations.
  • Experience building data-heavy applications.
  • AWS ecosystem familiarity with S3/Athena/EKS/Kubernetes.
  • Upper-intermediate English level.

Responsabilidades

  • Code governance: review PRs and enforce quality standards.
  • Design and deploy containerized apps using REST APIs.
  • Embed complex logic and AI features into the platform.
  • Collaborate with DevOps and align with engineering standards.
  • Guide senior developers and ensure engineering practices.

Conocimientos

7+ years full-stack eng
Python
TypeScript/React
REST APIs
Docker
PostgreSQL
AWS
AI-assisted tools awareness
Mac/Linux terminal

Herramientas

Kubernetes
Airflow
Next.js
Poetry
Redis

Descripción del empleo

AgileEngine is seeking a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform. You will own code quality and architecture, design containerized Python and React apps, and guide senior engineers while collaborating with DevOps.

You will shape solutions in a fast-moving environment by gathering context, defining problems, and turning loosely defined needs into scalable technical outcomes.

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