[Hiring] GCP DevOps Engineer @FullStack Labs

Role Description

What We Are 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.
• 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.

Qualifications

• 5+ years of professional Software Engineering / DevOps experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.

Requirements

• Hands-on experience with AI-assisted engineering workflows and agentic AI tools (e.g., Cursor, Claude Code, GitHub Copilot).
• Production experience with Google Cloud Platform (GCP).
• Proven track record of designing, building, and maintaining CI/CD pipelines.
• Hands-on Infrastructure-as-Code (IaC) experience using Terraform or Deployment Manager.
• Production experience with containerization and orchestration, including Docker and Kubernetes (GKE).
• Experience implementing monitoring, logging, and observability solutions.
• Demonstrated experience optimizing GCP infrastructure.
• Ability to work through new and difficult issues.
• 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.
• Ability to identify with the goals of FullStack's clients.

Benefits

• 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.

Company Description

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. We close the gap with three capabilities:

• AI built into your products from the start.
• Elite vetted talent who apply it.
• 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.

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.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.