Lead DevOps Engineer (GCP Experience)

InfoVision Inc.

México

Híbrido

MXN 556.689 - 927.816

A tiempo parcial

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary & benefits
Collaborative, innovative work environment
Career growth opportunities & skill development
Flexible remote work options

Descripción de la vacante

A tech consulting firm based in Mexico is seeking a Mid-Senior level DevOps Engineer to design, implement, and maintain scalable infrastructure on Google Cloud Platform (GCP). The ideal candidate will automate workflows, manage CI/CD pipelines, and collaborate with engineering teams. This part-time role offers competitive benefits and flexible remote work options.

Formación

  • Hands-on experience with GCP services and cloud-native solutions.
  • Strong programming skills in Python for automation and infrastructure tasks.
  • Experience with CI/CD pipelines and DevOps tools (e.g., Buildkite).
  • Solid experience with containerization (Docker) and orchestration (Kubernetes).
  • Proficiency with Git/GitHub and version control workflows.
  • Familiarity with workflow management using Airflow/Composer DAGs.
  • Strong problem-solving skills and ability to collaborate with multiple teams.

Responsabilidades

  • Design, deploy, and maintain GCP infrastructure for applications and data workflows.
  • Build and manage CI/CD pipelines using tools such as Buildkite.
  • Containerize applications and services with Docker and orchestrate them using Kubernetes.
  • Develop Python scripts for automation, monitoring, and infrastructure management.
  • Collaborate with development teams to integrate version control systems into deployment processes.
  • Ensure scalability, reliability, and performance of deployed systems.

Conocimientos

GCP services
Python
CI/CD pipelines
Docker
Kubernetes
Git/GitHub
Airflow/Composer DAGs
Problem-solving skills

Herramientas

Buildkite
Terraform
Cloud Deployment Manager

Descripción del empleo

About the Role

We are looking for a hands‑on DevOps Engineer with strong experience in Google Cloud Platform (GCP) and modern CI/CD practices. The ideal candidate will design, implement, and maintain scalable and reliable infrastructure, automate workflows, and support engineering teams with robust deployment pipelines.

Key Responsibilities
  • Design, deploy, and maintain GCP infrastructure for applications and data workflows.
  • Build and manage CI/CD pipelines using tools such as Buildkite, ensuring smooth and automated deployments.
  • Containerize applications and services with Docker and orchestrate them using Kubernetes.
  • Develop Python scripts for automation, monitoring, and infrastructure management.
  • Collaborate with development teams to integrate version control systems (Git/GitHub) into deployment and release processes.
  • Implement, monitor, and optimize workflows and pipelines using Airflow/Composer DAGs.
  • Ensure scalability, reliability, and performance of deployed systems.
  • Participate in infrastructure design discussions, security reviews, and best practices.
Qualifications
  • Hands‑on experience with GCP services and cloud‑native solutions.
  • Strong programming skills in Python for automation and infrastructure tasks.
  • Experience with CI/CD pipelines and DevOps tools (e.g., Buildkite).
  • Solid experience with containerization (Docker) and orchestration (Kubernetes).
  • Proficiency with Git/GitHub and version control workflows.
  • Familiarity with workflow management using Airflow/Composer DAGs.
  • Strong problem‑solving skills and ability to collaborate with multiple teams.
Nice to Have
  • Experience managing large‑scale data or application workloads in cloud environments.
  • Knowledge of monitoring, logging, and alerting systems.
  • Experience with infrastructure‑as‑code (Terraform, Cloud Deployment Manager, etc.).
What we offer:
  • 💰 Competitive salary & benefits – Including attractive legal and above‑the‑law perks.
  • 🤝 Collaborative, innovative work environment.
  • 📈 Career growth opportunities & skill development.
  • 🏡 Flexible remote work options.
Seniority Level

Mid – Senior level

Employment Type

Part‑time

Job Function

IT Services and IT Consulting

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