Google Cloud Platform Engineer_Rz

Hiring for Cloud Operations and Engineering role for a USA Based company
Location : Remote
Experience
Mininum 6+ years in infrastructure, DevOps, platform engineering, cloud operations, or SRE;~4 years hands-on on GCP.
Mandate skills: Strong GCP (Multiple Services) / IaC / Terraform / GKE
CTC : Open
Job Requirements
Hands-on experience with cloud infrastructure design, provisioning, deployment, and
troubleshooting.
Strong understanding of GCP core services: Compute Engine, GKE, Cloud Run, Cloud Storage,
Cloud SQL, IAM, VPC, Load Balancing, Cloud Logging, and Cloud Monitoring.
Strong Infrastructure as Code experience using Terraform: HCL, reusable modules, variables,
remote state, state locking, workspaces/environments, plan/apply lifecycle, drift handling, and
code review.
CI/CD experience using Cloud Build, Jenkins, GitHub Actions, GitLab CI, or equivalent.
Good understanding of networking: VPC, subnetting, firewall rules, private connectivity, load
balancers, DNS, NAT, VPN, Interconnect, Cloud Router, Shared VPC, and hub-spoke
architecture.
Production troubleshooting exposure: logs, metrics, alerts, incident response, performance,
reliability, and cost optimisation.
Scripting knowledge in Bash, Python, or Go.
Good security basics: IAM least privilege, service accounts, secrets, KMS, audit logging,
vulnerability awareness.
Ability to explain real-world implementation decisions, trade-offs, and failure scenarios.
Detailled JD
Generic Skills (Must Have)
Terraform HCL, modules, remote state, state locking, reusable templates, environment
separation.
Containerisation and Kubernetes basics: deployments, services, ingress, config maps, secrets,
autoscaling, troubleshooting.
Linux administration and basic scripting.
GCP Skills (Must Have)
GCP Compute Engine, GKE, Cloud Run, IAM, VPC, Load Balancers, Cloud NAT, Cloud Router,
Cloud DNS.
CI/CD using Cloud Build, Jenkins, GitHub Actions, or GitLab CI.
Monitoring and logging using Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or
equivalent.
Nice to have (Trainable)
GKE Autopilot vs Standard decisioning.
Anthos / GKE Enterprise exposure.
Cloud Deploy, Artifact Registry.
FinOps and cost optimisation.
Policy as Code using OPA, Sentinel, or Terraform policy controls.Artifact Registry
Skills: gke,devops,gcp,vertex ai,agentic ai,terraform,google cloud,cloud,cloud run,google,google cloud platform

Work arrangement
Yes