GCP Cloud Engineer - GCP & GKE

About the role

An experienced GCP Cloud Engineer is sought with strong expertise in Google Cloud Platform (GCP), Google Kubernetes Engine (GKE) and cloud infrastructure management. The engineer designs, deploys, manages and optimises scalable, secure and highly available cloud environments, working hands-on with Kubernetes, containerisation, cloud networking, infrastructure automation and CI/CD pipelines.

Key responsibilities

• Design, deploy and manage cloud infrastructure on GCP
• Implement, configure and maintain GKE clusters, including deployments, services, ingress, autoscaling and rollouts
• Manage GCP services such as Compute Engine, Cloud Storage, Load Balancing, DNS, VPC, IAM and Cloud Monitoring
• Automate provisioning with Terraform and maintain CI/CD pipelines (Jenkins, GitLab CI/CD or Cloud Build)
• Manage container images with Docker and Google Artifact Registry
• Apply security best practices (IAM, service accounts, network security, secrets management) and monitor with Cloud Monitoring, Cloud Logging and alerting
• Troubleshoot infrastructure, cluster, networking and deployment issues, and implement backup, disaster recovery and high-availability strategies
• Work with DevOps, development, security and architecture teams, and maintain technical documentation

Required profile

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related field
• 4-8 years of overall experience in cloud engineering, infrastructure or DevOps roles
• Hands-on experience with GCP and GKE in production, managing Kubernetes workloads and automating infrastructure
• Proven ability to troubleshoot complex cloud infrastructure and deployment issues
• GCP certifications such as Associate Cloud Engineer or Professional Cloud DevOps Engineer are preferred

Required skills

• GCP and GKE, Kubernetes (pods, deployments, services, ingress, autoscaling)
• Docker and Terraform
• CI/CD pipelines; networking (VPC, load balancers, DNS); IAM, Secret Manager, Workload Identity
• Cloud Monitoring, Cloud Logging, Git, Bash or Python scripting
• Preferred: Helm, Argo CD or Flux, Istio, Cloud Run and Cloud Functions, Prometheus, Grafana, DevSecOps, microservices