Hiring for Cloud Operations and Engineering role for a USA Based company

Experience: 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

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.

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