Overview

Google Cloud Delivery Architect (Project Owner) for the company Google Cloud Delivery team — Google Cloud Partner of the Year 2024–2026. Takes an approved, scoped, fixed-budget engagement and delivers it end to end: Low-Level Design, implementation, validation, and clean handover. Runs several engagements in parallel, facing each customer directly in a weekly meeting. Presale is owned by Customer Engineers; this role owns execution.

Responsibilities:
  • AWS / Azure → GCP migrations — production platforms moved in waves with controlled cutovers (EKS→GKE, RDS→Cloud SQL, S3→Cloud Storage).
  • Cloud Foundations (Landing Zones) — resource hierarchy, IAM, Organization Policies, network topology, security controls — all codified in Terraform.
  • Kubernetes platforms — GKE design and deployment: private clusters, Workload Identity, Helm add-ons, ingress, Cloud Armor.
  • DevOps / IaC enablement — import hand-built environments into Terraform, reusable modules, GitHub Actions with Workload Identity Federation, Argo CD.
  • Engagement ownership — weekly customer meeting, board and hours current, scope protected via change management, budget deviations flagged early, handover with docs/runbooks/knowledge transfer.
Required Qualifications:
  • Google Cloud, hands-on and deep — production architecture experience on GCP; not learning it on the job.
  • Terraform expertise — modular reusable code, remote state, importing hand-built environments.
  • Customer-facing English — runs workshops, weeklies and handovers with customer engineers and CTOs.
  • Kubernetes / GKE in production — private clusters, node pools, autoscaling, RBAC, Workload Identity, Helm, ingress.
  • Networking & security — VPC design, Cloud NAT/DNS/VPN, Private Service Connect, firewall policies, IAM, Org Policies, Secret Manager.
  • CI/CD — GitHub Actions (or equivalent) with keyless auth to GCP, container workflows, GitOps with Argo CD or similar.
  • Source-cloud fluency — working knowledge of AWS or Azure; must read the source environment being migrated.
  • AI-driven working — proficient daily use of AI tools with judgment: what to accept, what to reject, and why.
  • Customer-facing English
  • AI-driven working
Technologies:
  • Google Cloud
  • Terraform
  • Kubernetes
  • GKE
  • AWS
  • Azure
  • GCP
  • GitHub Actions
  • Argo CD
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