Agentic GCP DevOps Engineer - Remote - Latin America

FullStack

Recife

Remote

BRL 180,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

Competitive pay
100% remote work
English classes
Career advancement
Continuing education opportunities

Job summary

FullStack is seeking a skilled GCP DevOps Engineer to join our remote-capable talent network. You will work on AI-assisted engineering workflows, implement CI/CD pipelines, and collaborate with client teams to deliver reliable cloud-native solutions.

Required: 5+ years of DevOps/Software Eng experience, advanced English, and a four-year degree. Strong GCP, Docker, Kubernetes, Terraform, and observability skills are essential for production environments.

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.
  • Four-year college degree required.
  • Production experience with GCP services (Compute Engine, Cloud Storage, Cloud Functions, Cloud SQL, GKE).
  • CI/CD pipelines design, build and maintenance in production environments.
  • IaC using Terraform or Deployment Manager to provision cloud infrastructure.
  • Containerization and orchestration with Docker and Kubernetes (GKE).
  • Experience with monitoring/observability tools (Stackdriver, Prometheus, Grafana).

Responsibilities

  • Integrate directly into the client's team and collaborate daily with designers and engineers.
  • Deliver production-grade CI/CD pipelines for cloud-native apps.
  • Maintain and optimize cloud infrastructure for scalability and cost efficiency.

Skills

CI/CD
GCP
Kubernetes (GKE)
Docker
IaC
English proficiency
Agile/Scrum
Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
Deployment Manager
Docker
Kubernetes (GKE)
GitHub Copilot
Google Cloud Observability
Prometheus
Grafana

Job description

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We're Most Proud Of
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.
The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as an Agentic GCP DevOps Engineer.

  • You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We're Looking For
  • 5+ years of professional Software Engineering / DevOps experience.
  • Hands-on experience with AI-assisted engineering workflows and agentic AI tools (e.g., Cursor, Claude Code, GitHub Copilot) integrated into daily development routines.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Production experience with Google Cloud Platform (GCP), specifically managing services such as Compute Engine, Cloud Storage, Cloud Functions, Cloud SQL, and GKE.
  • Proven track record of designing, building, and maintaining CI/CD pipelines for cloud-native applications in production environments.
  • Hands-on Infrastructure-as-Code (IaC) experience using Terraform or Deployment Manager to provision and manage cloud infrastructure.
  • Production experience with containerization and orchestration, including Docker and Kubernetes (GKE).
  • Experience implementing monitoring, logging, and observability solutions using tools such as Google Cloud Observability (Stackdriver), Prometheus, or Grafana.
  • Demonstrated experience optimizing GCP infrastructure for scalability, performance, and cost efficiency.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
Work Authorization Requirements
  • Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
  • FullStack will not sponsor applicants for work visas now or in the future.
What We Offer
  • Competitive pay in your local currency.
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • English Classes.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.
  • Depending on your location other benefits may apply.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.

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