Remote GCP DevOps Engineer – AI-Driven Cloud Ops

FullStack; Valparaíso; Remote; CLP 117,878,000 - 147,348,000; Full time

Job summary

FullStack is seeking a highly skilled GCP DevOps Engineer to join our talent network. You will work directly with client teams, implementing AI-assisted engineering workflows and managing cloud infrastructure across Google Cloud.

Strong ownership, collaboration in Agile teams, and proficiency with Terraform, Docker, and Kubernetes are essential. The role offers 100% remote work with opportunities to work on large, complex systems for US clients and other international partners.

Qualifications

• 5+ years of professional Software Engineering / DevOps experience.
• Hands-on experience with AI-assisted engineering workflows and agentic AI tools.
• Advanced English is required.
• Bachelor's degree or four-year college degree required.
• Production experience with GCP services (Compute Engine, Cloud Storage, Cloud Functions, Cloud SQL, GKE).
• Proven track record of CI/CD pipelines for cloud-native apps.
• IaC experience with Terraform or Deployment Manager.
• Production experience with Docker and Kubernetes (GKE).
• Experience with monitoring/observability tools (Stackdriver, Prometheus, Grafana).
• Agile/Scrum teamwork and ownership mindset.

Responsibilities

• Integrate into client teams and collaborate with designers and engineers daily.
• Build and maintain CI/CD pipelines for cloud-native apps.
• Manage cloud infrastructure with IaC tools and monitor performance.

Skills

GCP expertise

CI/CD pipelines

Terraform

Docker

Kubernetes

IaC

GitHub Copilot

English proficiency

Agile/Scrum

Cloud Observability

Education

Four-year college degree

Tools

Terraform

Deployment Manager

GKE

Docker

Kubernetes

Git

Job description

FullStack is seeking a highly skilled GCP DevOps Engineer to join our talent network. You will work directly with client teams, implementing AI-assisted engineering workflows and managing cloud infrastructure across Google Cloud.

Strong ownership, collaboration in Agile teams, and proficiency with Terraform, Docker, and Kubernetes are essential. The role offers 100% remote work with opportunities to work on large, complex systems for US clients and other international partners.