Technical Lead - Remote AI-Powered Marketing Platform

AgileEngine, LLC.; Rosario; Presencial; ARS 178.643.000 - 238.191.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budget

Remote work

Competitive pay

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. is seeking a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, owning code quality and architecture.

You will lead the design and deployment of containerized Python and React applications, integrate AI-powered features, collaborate with DevOps, and mentor senior engineers while maintaining engineering standards.

Formación

• 7+ years of full-stack engineering experience with architectural ownership.
• Strong production experience with Python (FastAPI or Flask).
• Solid TypeScript/React experience (Next.js or modern state management).
• Comfortable with REST APIs, migrating from GraphQL where needed.
• Docker and relational databases (PostgreSQL) including migrations.
• Experience building data-heavy applications with large payloads.

Responsabilidades

• Code Governance: Review PRs and enforce code quality standards.
• System Architecture: Design and deploy containerized applications with REST APIs.
• Technical Integration: Embed complex AI features and data-heavy outputs into the platform.
• AWS Ecosystem Engagement: Collaborate with DevOps around data lake and Kubernetes.deployments.
• Team Leadership: Guide senior developers and align with engineering practices.

Conocimientos

Full-stack ownership

Python

TypeScript/React

REST APIs

Docker

PostgreSQL

AWS

Airflow

Mac/Linux

AI-assisted tools

Ambiguity handling

Herramientas

Docker

PostgreSQL

Kubernetes

Airflow

Descripción del empleo

AgileEngine, LLC. is seeking a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, owning code quality and architecture.

You will lead the design and deployment of containerized Python and React applications, integrate AI-powered features, collaborate with DevOps, and mentor senior engineers while maintaining engineering standards.