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مهندس عمليات السحابة

Flairs Techالقاهرة
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تفاصيل الوظيفة

Job description

Position Summary

The GCP & GKE Cloud Engineer is a hands-on cloud infrastructure expert responsible for designing, deploying, and managing customer environments on Google Cloud Platform, with a strong emphasis on Kubernetes (GKE) and Infrastructure-as-Code via Terraform. This role requires deep technical fluency across GCP's core services and the ability to architect scalable, secure, and cost-efficient cloud solutions.


Key ResponsibilitiesGCP Platform Engineering
  • Design, deploy, and manage infrastructure across core GCP services (Compute Engine, Cloud Storage, VPC networking, IAM, Cloud SQL/Spanner, Cloud Functions, Pub/Sub, etc.).
  • Architect solutions that follow GCP best practices for security, scalability, high availability, and cost optimization.
  • Monitor, troubleshoot, and optimize cloud infrastructure performance and reliability.
  • Implement and maintain IAM policies, service accounts, and network security controls in line with least-privilege principles.
Kubernetes & GKE
  • Deploy, configure, and manage Google Kubernetes Engine (GKE) clusters, including node pools, autoscaling, networking (VPC-native clusters, Ingress, Gateway API), and workload identity.
  • Manage containerized application deployments, Helm charts, and GitOps-based release workflows.
  • Troubleshoot cluster and workload issues (pod failures, resource constraints, networking, RBAC).
  • Implement Kubernetes security best practices (namespaces, network policies, pod security standards).
Infrastructure as Code (Terraform)
  • Build and maintain Terraform modules to provision and manage GCP infrastructure and GKE clusters in a repeatable, version-controlled manner.
  • Manage Terraform state, workspaces, and CI/CD pipelines for infrastructure deployment.
  • Review and enforce IaC standards across the team to ensure consistency and maintainability.
  • Troubleshoot and resolve Terraform drift, plan/apply issues, and module dependency conflicts.
Cross-Functional & Delivery
  • Collaborate with DevOps, Solutions Consulting, and Software Engineering teams to align infrastructure design with application requirements.
  • Support customer engagements by providing architecture recommendations and technical guidance on GCP/GKE adoption.
  • Participate in incident response and root-cause analysis for cloud infrastructure issues.
  • Document architectures, runbooks, and operational procedures for supported environments.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience).
  • 3–6 years of experience working with Google Cloud Platform in a production environment.
  • Strong hands-on experience with Kubernetes and Google Kubernetes Engine (GKE).
  • Terraform experience is mandatory — proven ability to write, maintain, and troubleshoot Terraform modules for GCP infrastructure.
  • Solid understanding of networking concepts (VPCs, subnets, firewall rules, load balancing) within GCP.
  • Experience with CI/CD pipelines and GitOps practices for infrastructure and application delivery.
  • Strong troubleshooting and problem-solving skills across cloud and container environments.
Preferred Qualifications
  • GCP certification(s): Professional Cloud Architect, Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator (CKA).
  • Experience with service mesh technologies (Istio, Anthos Service Mesh).
  • Scripting/automation experience (Python, Bash, Go).
  • Familiarity with monitoring/observability stacks (Cloud Monitoring, Prometheus, Grafana).
  • Experience in a multi-tenant or MSP environment supporting multiple customer accounts.
Key Competencies
  • Deep technical expertise combined with a pragmatic, solutions-oriented approach.
  • Strong ownership mentality across infrastructure lifecycle — design, deployment, and operations.
  • Ability to work independently on complex technical problems while communicating clearly with cross-functional teams.
  • Commitment to infrastructure-as-code discipline and repeatable, auditable deployments.

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