GCP Cloud Engineer

AgileEngine, LLC.

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Growth without limits
Competitive compensation
Remote work with flexible hours
Meaningful, modern projects
Collaborative culture
Well-being & support

Job summary

AgileEngine, LLC. is seeking a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform.

The role requires 4+ years in cloud engineering, hands-on GCP, Kubernetes, Terraform, and scripting to automate. You will build secure, cost-efficient architectures and champion DevSecOps practices.

This is a fully remote position with flexible hours, offering growth through mentorship and access to an annual learning budget.

Qualifications

  • 4+ years in Cloud Engineering with a focus on GCP.
  • Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
  • Experience with GKE, Docker, GKE Networking and Helm.
  • Hands‑on experience with Azure DevOps for CI/CD pipeline automation.
  • Expertise in Terraform for provisioning cloud resources.
  • Proficiency in Python, Bash, or PowerShell for automation.
  • Knowledge of cloud security principles, IAM, and compliance standards.
  • Upper-intermediate English level.

Responsibilities

  • Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
  • Implement Google Cloud Storage, Cloud SQL, filestore for data storage and processing needs.
  • Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
  • Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
  • Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
  • Work with Helm charts for microservices deployments.
  • Automate scaling, rolling updates, and zero‑downtime deployments.
  • Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
  • Optimize containerized applications running on Cloud Run for cost efficiency and performance.
  • Design, implement, and manage CI/CD pipelines using Azure DevOps.
  • Automate infrastructure deployment using Terraform, Bash and Powershell scripting.
  • Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Skills

GCP
Kubernetes
Terraform
Helm
GKE
Docker
Azure DevOps
Python
Bash/PowerShell
IAM
DevSecOps
English (upper-intermediate)

Tools

Terraform
Helm
Docker
Azure DevOps
GKE

Job description

About the role

We are looking for a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform.

The mandatory requirements are 4+ years in cloud engineering, GCP experience, Kubernetes, and an upper-intermediate English level.

Must haves
  • 4+ years in Cloud Engineering, with a focus on GCP.
  • Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
  • Experience with GKE, Docker, GKE Networking, and Helm.
  • Hands‑on experience with Azure DevOps for CI/CD pipeline automation.
  • Expertise in Terraform for provisioning cloud resources.
  • Proficiency in Python, Bash, or PowerShell for automation.
  • Knowledge of cloud security principles, IAM, and compliance standards.
  • Upper-intermediate English level.
What you will do
  • Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
  • Implement Google Cloud Storage, Cloud SQL, filestore for data storage and processing needs.
  • Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
  • Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
  • Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
  • Work with Helm charts for microservices deployments.
  • Automate scaling, rolling updates, and zero‑downtime deployments.
  • Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
  • Optimize containerized applications running on Cloud Run for cost efficiency and performance.
  • Design, implement, and manage CI/CD pipelines using Azure DevOps.
  • Automate infrastructure deployment using Terraform, Bash and Powershell scripting.
  • Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Perks
  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well‑being & support: access local well‑being programs and people‑focused support tailored to your location
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