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# GCP DevOps Engineer

- **Company:** Robert Half
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Application Performance Management, Bash Shell, Cloud Computing, Cloud Engineering, DevOps, Github, Identity and Access Management, Python (Programming Language), Reliability Engineering, Cloud Services, Software Deployment, Data Logging, Scripting, Google Cloud, Infrastructure as Code (IaC), Build Server, Git, Containerization, Gitlab-ci, Kubernetes, Machine Learning Operations, Terraform, Software Version Control, Docker, Jenkins
- **Published:** October 21, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3462162560&tx=YT404CYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 4+ years of experience in Cloud Engineering, DevOps, SRE, or Infrastructure Engineering roles.
 * Strong hands-on experience with Google Cloud Platform (GCP).
 * Advanced Terraform experience, including reusable module design and state management.
 * Experience with Kubernetes (GKE) and containerization technologies.
 * Strong scripting skills with Python, Bash, or Go.
 * Experience building and supporting CI/CD pipelines.
 * Knowledge of cloud networking, IAM, monitoring, logging, and security best practices.
 * Experience with Git-based version control and DevOps workflows.

## Description

* Design, deploy, and maintain cloud infrastructure within GCP using Terraform.
 * Develop and manage Infrastructure as Code (IaC) frameworks, modules, and deployment standards.
 * Build and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.
 * Administer and support containerized environments using Kubernetes (GKE) and Docker.
 * Implement cloud networking, IAM, security controls, monitoring, and governance best practices.
 * Automate operational processes, system provisioning, and environment management.
 * Collaborate with software engineers, data engineers, and AI teams to support cloud-native application deployments.
 * Support AI/ML infrastructure including Vertex AI, model deployment pipelines, vector databases, and related cloud services.
 * Monitor platform performance, reliability, availability, and cost optimization.
 * Troubleshoot infrastructure, deployment, networking, and application performance issues.