Senior Data & AI Platform Architect

Equinix; León; Presencial; MXN 1,856,000 - 2,414,000; Jornada completa

Descripción de la vacante

A global technology company seeks a Principal Platform Engineer in León, Guanajuato. In this role, you will leverage your extensive experience to architect and optimize data platforms for AI and GenAI workloads. You will work with cross-functional teams to develop scalable solutions, ensuring reliability and performance across multi-cloud environments. Strong knowledge in platform engineering, data architecture, and proficiency in tools like Kubernetes are essential. The position offers opportunities for mentorship and technical leadership.

Formación

• 15 years of hands-on experience in Platform or Data Engineering, Cloud Architecture, AI Engineering roles.
• Strong programming background in Java, Python, SQL, and general-purpose languages.
• Deep knowledge of data modeling, distributed systems, and API design in production environments.
• Familiarity with observability tools and strong debugging skills across the stack.

Responsabilidades

• Develop and maintain real-time and batch data pipelines using various tools.
• Design event-driven architectures and manage multi-cloud platforms.
• Integrate LLM APIs for intelligent automation and enhanced user experience.
• Mentor junior engineers and foster a culture of continuous learning.

Conocimientos

Platform Engineering

Data Architecture

AI Engineering

Distributed Systems

Cloud Architecture

Java

Python

SQL

Herramientas

Kubernetes

Airflow

Apache Kafka

Terraform

OpenTelemetry

Descripción del empleo

A global technology company seeks a Principal Platform Engineer in León, Guanajuato. In this role, you will leverage your extensive experience to architect and optimize data platforms for AI and GenAI workloads. You will work with cross-functional teams to develop scalable solutions, ensuring reliability and performance across multi-cloud environments. Strong knowledge in platform engineering, data architecture, and proficiency in tools like Kubernetes are essential. The position offers opportunities for mentorship and technical leadership.