Remote GCP DevOps Engineer — AI-Driven Cloud Automation

FullStack; Córdoba; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

100% remote work

Career advancement

English classes

Work with startups and Fortune 500s

Job summary

FullStack is an AI-native engineering partner helping clients turn AI capability into production. Join our talent network as an Agentic GCP DevOps Engineer and work remotely on flexible, project-based development for U.S. clients.

You’ll integrate directly into client teams and collaborate with designers and engineers daily. You will apply GCP, Terraform, Docker, Kubernetes, and CI/CD to build scalable cloud-native systems, with strong emphasis on observability and performance.

Qualifications

• 5+ years of professional Software Engineering / DevOps experience.
• Hands-on experience with AI-assisted engineering workflows and agentic AI tools integrated into daily development routines.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Production experience with GCP services (Compute Engine, Cloud Storage, Cloud Functions, Cloud SQL, GKE).
• Proven CI/CD pipeline experience for cloud-native apps in production.
• IaC experience using Terraform or Deployment Manager.
• Experience with Docker and Kubernetes (GKE).
• Experience with monitoring/logging/observability tools (Stackdriver, Prometheus, Grafana).
• Ability to own and improve cloud infrastructure and delivery processes.

Skills

GCP

Terraform

Docker

Kubernetes

CI/CD pipelines

Observability tools

English proficiency

Agile/Scrum

Production systems

Ownership mindset

Education

Four-year college degree

Tools

GKE

Job description

FullStack is an AI-native engineering partner helping clients turn AI capability into production. Join our talent network as an Agentic GCP DevOps Engineer and work remotely on flexible, project-based development for U.S. clients.

You’ll integrate directly into client teams and collaborate with designers and engineers daily. You will apply GCP, Terraform, Docker, Kubernetes, and CI/CD to build scalable cloud-native systems, with strong emphasis on observability and performance.