Role Overview
We are looking for an experienced GCP Cloud Engineer with strong expertise in Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), and cloud infrastructure management. The candidate will be responsible for designing, deploying, managing, and optimizing scalable, secure, and highly available cloud environments. The role requires hands-on experience with Kubernetes, containerization, cloud networking, infrastructure automation, and CI/CD pipelines.
Key Responsibilities
- Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).
- Implement, configure, and maintain Google Kubernetes Engine (GKE) clusters for containerized applications.
- Manage Kubernetes workloads, including deployments, services, ingress, autoscaling, and application rollouts.
- Configure and manage GCP services such as Compute Engine, Cloud Storage, Cloud Load Balancing, Cloud DNS, VPC, IAM, and Cloud Monitoring.
- Implement Infrastructure as Code (IaC) using Terraform to automate cloud resource provisioning and management.
- Develop and maintain CI/CD pipelines for automated application deployment and infrastructure updates.
- Manage container images using Docker and Google Artifact Registry.
- Implement cloud security best practices, including IAM policies, service accounts, network security, secrets management, and access controls.
- Monitor cloud infrastructure and application performance using Google Cloud Monitoring, Cloud Logging, and alerting tools.
- Troubleshoot infrastructure, Kubernetes cluster, networking, and application deployment issues.
- Optimize cloud infrastructure for performance, scalability, availability, and cost efficiency.
- Implement backup, disaster recovery, and high-availability strategies.
- Collaborate with DevOps, development, security, and architecture teams to support cloud-native application delivery.
- Maintain technical documentation, operational procedures, and cloud infrastructure standards.
Required Technical Skills
- Google Cloud Platform (GCP): Hands-on experience with GCP infrastructure, cloud services, and resource management.
- Google Kubernetes Engine (GKE): Experience in cluster provisioning, configuration, upgrades, workload management, and troubleshooting.
- Kubernetes: Strong understanding of pods, deployments, services, ingress, ConfigMaps, Secrets, namespaces, and autoscaling.
- Docker: Experience in containerization, image management, and container lifecycle operations.
- Terraform: Experience with Infrastructure as Code for provisioning and managing cloud resources.
- CI/CD: Knowledge of automated build, test, and deployment pipelines using tools such as Jenkins, GitLab CI/CD, or Cloud Build.
- Networking: Understanding of VPCs, subnets, firewall rules, routing, load balancers, DNS, and private connectivity.
- Security: Knowledge of IAM, service accounts, Workload Identity, Secret Manager, and Kubernetes security best practices.
- Monitoring & Logging: Experience with Cloud Monitoring, Cloud Logging, dashboards, alerts, and performance troubleshooting.
- Scripting: Basic to intermediate scripting skills using Bash, Python, or similar languages.
- Version Control: Experience with Git and collaborative source code management.
Preferred Skills
- Experience with Helm charts and Kubernetes package management.
- Knowledge of GitOps tools such as Argo CD or Flux.
- Experience with service mesh technologies such as Istio.
- Understanding of serverless services such as Cloud Run and Cloud Functions.
- Knowledge of cloud cost optimization, capacity planning, and resource utilization.
- Experience with Prometheus, Grafana, or other monitoring solutions.
- Familiarity with DevSecOps practices and automated security scanning.
- Understanding of microservices architecture and cloud-native application deployment.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Relevant Google Cloud certifications, such as Associate Cloud Engineer or Professional Cloud DevOps Engineer, are preferred.
Experience
- 4–8 years of overall experience in cloud engineering, infrastructure, or DevOps roles.
- Strong hands-on experience with GCP and GKE in production environments.
- Experience managing Kubernetes-based workloads and automating cloud infrastructure.
- Proven ability to troubleshoot complex cloud infrastructure and deployment issues.