Remote Senior Cloud Engineer — Azure, GCP & VMware

Piedra Support Services Mexico; México; A distancia; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision care

PTO

401(k)

Flexible spending accounts

Life insurance

Disability insurance

Descripción de la vacante

Accendra Health is seeking a Senior Cloud Engineer to design, deploy, and manage enterprise cloud infrastructure across Microsoft Azure and Google Cloud Platform (GCP). This hands-on role includes migration, automation, and supporting VMware environments with L3 expertise. Remote role for Mexico, with weekend on-call as needed.

You will implement infrastructure as code, support containerized workloads, and collaborate with cross-functional teams to optimize performance and security.

Formación

• Bachelor’s degree or equivalent professional experience.
• Strong hands-on cloud experience across Azure and GCP.

Responsabilidades

• Design, deploy, and manage scalable cloud infrastructure across Azure and GCP.
• Lead and support cloud migration initiatives with security best practices.
• Provide IaC using Terraform, ARM templates, or Deployment Manager.

Conocimientos

Azure

Google Cloud

VMware

OpenShift

Kubernetes

Docker

Terraform

ARM templates

Deployment Manager

PowerShell

Python

Bash

CI/CD

Jenkins

GitHub Actions

GitLab CI

Windows Admin

Multi-cloud

Educación

Bachelor’s degree in CS/Engineering/IT

Microsoft Azure Architect Expert

Google Cloud Professional Cloud Architect

Red Hat OpenShift Administrator

Herramientas

VMware vSphere

Jenkins

GitHub Actions

GitLab CI

Deployment Manager

Descripción del empleo

Accendra Health is seeking a Senior Cloud Engineer to design, deploy, and manage enterprise cloud infrastructure across Microsoft Azure and Google Cloud Platform (GCP). This hands-on role includes migration, automation, and supporting VMware environments with L3 expertise. Remote role for Mexico, with weekend on-call as needed.

You will implement infrastructure as code, support containerized workloads, and collaborate with cross-functional teams to optimize performance and security.