DevOps/Site Reliability Engineer - Google Cloud Platform

Key Responsibilities :

• 6+ years in infrastructure, DevOps, platform engineering, cloud operations, or SRE.

• ~4 years hands-on on GCP (must have).

• 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, 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.

Detailed JD :

• GCP Compute Engine, GKE, Cloud Run, IAM, VPC, Load Balancers, Cloud NAT, Cloud Router, Cloud DNS.

• Terraform HCL, modules, remote state, state locking, reusable templates, environment separation.

• CI/CD using Cloud Build, Jenkins, GitHub Actions, or GitLab CI.

• Containerisation and Kubernetes basics : deployments, services, ingress, config maps, secrets, autoscaling, troubleshooting.

• Monitoring and logging using Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or equivalent.

• Linux administration and basic scripting.

Good-to-have skills :

• 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.