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# GCP Cloud Engineer

- **Company:** TekFortune INC
- **Location:** Glen Allen, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Performance Management, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Distributed Systems, Python (Programming Language), Software Engineering, Data Streaming, Scripting, Google Cloud, Data Storage Technologies, Multi-Cloud, Backend, Kubernetes, Infrastructure Automation Frameworks, Terraform, Serverless Computing, Docker, Golang, Programming Languages, Microservices
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gcp-cloud-engineer-glen-allen-va--9d97ff3f-61ae-4007-bd93-2b1f597dd2bd

## About the Role

GCP (Good Clinical Practices), Cloud Computing, Software Engineering, Consulting, Work From Home, Cloud Computing, Software Engineering, GCP (Good Clinical Practices), Go Programming Language (Golang), Python Programming/Scripting Language, * Cloud: must have a strong GCP background

 * Production applications: maintenance and migration work
 * Programming: Golang is preferred
 + Python secondarily
 * Terraform, * Minimum 5+ years of hands-on experience designing, deploying, and managing infrastructure and services across Google Cloud Platform (GCP) and Microsoft Azure.
 * Strong proficiency and production experience in Python or Go for backend development, automation, and distributed systems tooling.
 * Practical experience using Terraform for multi-environment provisioning, state management, and infrastructure automation.
 * Hands-on experience developing, orchestrating, and scaling complex, failure-resilient distributed applications using Temporal.
 * Familiarity with modern containerization and orchestration tooling (Docker, Kubernetes) and CI/CD automation pipelines.

## Description

* Collaborate with cross-functional teams to understand requirements and provide technical guidance across distributed cloud environments.
 * Troubleshoot, maintain, and resolve complex issues related to cloud infrastructure and workflow orchestrations.
 * Optimize data storage, compute, and processing workloads using cloud-native services across GCP and Azure.
 * Design, build, and maintain resilient asynchronous workflows and distributed microservices using Temporal
 * Implement and manage infrastructure as code (IaC) modular frameworks using Terraform to ensure reliable, multi-cloud deployments.
 * Monitor, tune, and improve application performance, service reliability, and data flow efficiency.