GCP Cloud Engineer ID89421

AgileEngine

Wrocław

Hybrid

PLN 356,000 - 474,000

Full time

25 hours ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay with budgets
Exciting projects
Flextime: remote and office options

Job summary

AgileEngine, LLC. is seeking a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure on Google Cloud Platform. You will build CI/CD pipelines, automate deployments with Terraform and scripting, and ensure security and compliance across environments.

The role focuses on GCP services, containerization with GKE and Helm, and serverless options with Cloud Run/Functions, with a flexible hybrid work model in a modern, growth‑oriented team.

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 with Azure DevOps for CI/CD.
  • Expertise in Terraform for provisioning cloud resources.
  • Proficiency in Python, Bash, or PowerShell for automation; knowledge of cloud security, IAM, and compliance.
  • Upper-intermediate English level.

Responsibilities

  • Architect, deploy, and maintain GCP resources via Terraform and other automation.
  • Implement Google Cloud Storage, Cloud SQL, and Filestore for data storage and processing.
  • Manage Cloud Load Balancers for high availability and scalability.
  • Optimize resource allocation, monitoring, and cost across GCP.
  • Deploy and manage workloads on GKE and use Helm charts for microservices.
  • Automate scaling, rolling updates, and zero-downtime deployments.
  • Deploy and manage applications on Cloud Run and Cloud Functions.
  • Incorporate security checks and DevSecOps practices into CI/CD pipelines.

Skills

Cloud engineering
GCP expertise
CI/CD automation
Security & IAM
English communication

Tools

GKE
Compute Engine
IAM
VPC
Cloud Storage
Cloud SQL
Cloud Functions
Helm
Docker
Terraform
Python
PowerShell
Bash
Azure DevOps
Cloud Run
Cloud Load Balancing
GKE Networking

Job description

WHY JOIN US

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

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.

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 AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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