Senior Backend Architect for AI Chatbot Platform (Remote)

Félix; Santa Fe Capital; À distance; ARS 2 500 000 - 4 000 000; Plein temps

Avantages offerts par ce poste

100% remote

LATAM-friendly policy

Laptop provided/mentoring

Generous PTO

Résumé du poste

Félix is seeking a Senior Backend Engineer to design, build, and scale backend services in a startup environment. You will own features end-to-end, collaborating with a highly technical team on distributed systems and AI-assisted development workflows.

The role requires strong Java and Python experience, Docker/Kubernetes in production, and an ownership mindset to deliver reliable, high-performance systems while shaping the platform as the company scales.

Qualifications

• 8+ years of software/backend experience.
• 5+ years with Python in production.
• Hands-on Docker and Kubernetes in production.

Responsabilités

• Design, build, and maintain scalable backend services using Java and Python.
• Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
• Take ownership of features throughout their lifecycle from design to monitoring and optimization.
• Build production-ready systems with focus on reliability and performance.
• Collaborate with product and engineering teams to translate requirements into technical solutions.
• Improve system performance, scalability, and operational efficiency.
• Leverage AI-assisted development tools to accelerate delivery while maintaining code quality.
• Participate in architectural discussions and contribute to key technical decisions.
• Continuously improve development processes, tooling, and standards.

Connaissances

Python

Java

Docker

Kubernetes

AI/LLM development

Distributed systems

Asynchronous processing

Advanced English

Outils

Kafka

RabbitMQ

Description du poste

Félix is seeking a Senior Backend Engineer to design, build, and scale backend services in a startup environment. You will own features end-to-end, collaborating with a highly technical team on distributed systems and AI-assisted development workflows.

The role requires strong Java and Python experience, Docker/Kubernetes in production, and an ownership mindset to deliver reliable, high-performance systems while shaping the platform as the company scales.