Google Cloud Delivery Architect
Summary
The Google Cloud Delivery Architect manages end-to-end cloud migration and infrastructure projects, focusing on GCP implementations, Kubernetes, and Terraform-based automation. This role involves direct customer engagement, project ownership, and technical execution of cloud foundations and migrations.
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.
Seniority: Senior / Architect — 5+ years hands-on cloud infrastructure, with deep production experience on Google Cloud specifically.
What You Will Deliver:
- 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.
Requirements
Must-Have:
- Google Cloud, hands-on and deep (20%) — production architecture experience on GCP; not learning it on the job.
- Terraform expertise (15%) — modular reusable code, remote state, importing hand-built environments.
- Customer-facing English (15%) — runs workshops, weeklies and handovers with customer engineers and CTOs.
- Kubernetes / GKE in production (12%) — private clusters, node pools, autoscaling, RBAC, Workload Identity, Helm, ingress.
- Networking & security (12%) — VPC design, Cloud NAT/DNS/VPN, Private Service Connect, firewall policies, IAM, Org Policies, Secret Manager.
- CI/CD (10%) — GitHub Actions (or equivalent) with keyless auth to GCP, container workflows, GitOps with Argo CD or similar.
- Source-cloud fluency (8%) — working knowledge of AWS or Azure; must read the source environment being migrated.
- AI-driven working (8%) — proficient daily use of AI tools with judgment: what to accept, what to reject, and why.