Lead DevOps Architect: Cloud Platform & Automation

Tential Solutions; Ciudad de México; Híbrido; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Tential Solutions in Mexico City is seeking a Lead DevOps Engineer to lead the design, automation, and optimization of scalable and secure cloud infrastructure and internal platforms. This on‑site role requires hands‑on engineering and architectural leadership to improve developer experience, CI/CD efficiency, reliability, and platform governance.

Responsibilities include platform architecture across AWS/GCP, driving technical design, establishing reusable standards for workspace and AI

Formación

• Experience leading enterprise‑level platform or DevOps initiatives.
• Strong Python or Node.js proficiency and related frameworks.
• Experience designing scalable, multi‑tenant APIs and platforms.
• Hands‑on with serverless, API gateways, and IaC (Terraform, Pulumi).
• Solid cloud‑native architecture and CI/CD principles.
• Excellent documentation and ability to communicate with execs.

Responsabilidades

• Architect and maintain cloud‑native infrastructure across AWS and GCP.
• Lead platform initiatives and establish reusable standards.
• Create libraries, workflows, SDKs to improve developer UX.
• Mentor engineers and advocate best practices.
• Drive modernization toward secure, scalable event‑driven architectures.

Conocimientos

Leadership

Python/Node.js

API design

Multi-tenant architecture

Terraform/Pulumi

Cloud-native

CI/CD

Technical writing

Herramientas

Terraform

Pulumi

AWS

GCP

API Gateway

Descripción del empleo

Tential Solutions in Mexico City is seeking a Lead DevOps Engineer to lead the design, automation, and optimization of scalable and secure cloud infrastructure and internal platforms. This on‑site role requires hands‑on engineering and architectural leadership to improve developer experience, CI/CD efficiency, reliability, and platform governance.

Responsibilities include platform architecture across AWS/GCP, driving technical design, establishing reusable standards for workspace and AI