Google Cloud Delivery Architect

Description

We are looking for Google Cloud Delivery Architect (Project Owner) - Own the delivery of Google Cloud engagements from design to handover. You’ll run multiple fixed-budget projects in parallel, lead weekly customer meetings, and turn presales commitments into production-ready solutions, backed by a team recognized as Google Cloud Partner of the Year 2024-2026.

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

Requirements

• 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.
• Fluency in English.

Nice to Have:

• Current Google Cloud certification (funded; expected within first months if missing).
• Production-scale migration experience incl. CDC / logical replication.
• Open-source platforms (Kafka, Elasticsearch, Istio, Prometheus/Grafana, Vault).
• Data & AI on GCP (BigQuery, Dataflow, Gemini).
• Regulated / fintech delivery (VPC-SC, CMEK, Cloud Armor).
• Consulting background with fixed-scope engagements.