Cloud Engineer (GCP)

Description

Design, deploy, configure, and maintain cloud infrastructure on GCP .

Manage and support GKE clusters , including deployments, scaling, networking, upgrades, monitoring, and troubleshooting.

Deploy and manage containerized applications using Kubernetes and Docker .

Work with GCP Dataproc to provision and manage clusters for distributed data-processing workloads.

Support Spark/Hadoop workloads running on Dataproc.

Develop and maintain Terraform Infrastructure as Code (IaC) for automated GCP resource provisioning.

Create reusable Terraform configurations/modules and manage infrastructure changes through version control.

Configure and manage GCP services including VPC, Compute Engine, Cloud Storage, IAM, Cloud Logging, and Cloud Monitoring .

Implement GCP networking, security, IAM policies, service accounts, and access controls.

Support CI/CD pipelines for application and infrastructure deployments.

Monitor cloud environments and troubleshoot infrastructure, Kubernetes, networking, and application issues.

Implement cloud security, scalability, availability, and performance best practices.

Automate operational activities using scripting and Infrastructure as Code.

Work closely with DevOps, Data Engineering, Application Development, and Architecture teams.

Participate in production support, incident management, root-cause analysis, and performance optimization.

Requirements

5+ years of experience in Cloud Engineering / DevOps, with significant hands-on experience in GCP .

GCP – Strong hands-on experience

GKE – Strong hands-on experience

Google Cloud Dataproc – Hands-on experience

Terraform – Strong hands-on experience

Kubernetes and Docker

GCP networking – VPC, subnets, firewall rules

GCP IAM and service accounts

Cloud monitoring and logging

CI/CD concepts and tools

Production cloud support and troubleshooting