Pre-vetted Google Cloud Platform engineering pods, fully managed delivery, structurally outcome-based pricing via Delivery Units. Onboarded in days — not months. No hiring overhead, no infrastructure to set up.
A Google Cloud Platform VDC is your cloud-native execution unit — a pre-assembled pod of Google Cloud Platform engineers, a delivery manager, and the tooling to ship outcomes against your roadmap. AiDOOS handles vetting, onboarding, governance, and reporting; you review shipped work against milestones.
Google Cloud Platform is AiDOOS's go-to cloud for data-platform and ML engagements thanks to BigQuery, Dataflow, Vertex AI, and the broader analytics ecosystem. Pods include certified GCP specialists covering GKE for Kubernetes workloads, Cloud Run for serverless container deployments, BigQuery for analytical data warehouses, Pub/Sub for event-driven architectures, and Vertex AI for production ML systems. Common engagements include data-platform builds, ML deployment, and migration from legacy analytics stacks.
Skip the 60–90 day recruiting cycle. AiDOOS maintains a pre-vetted bench of Google Cloud Platform engineers, so kickoff happens after scope alignment — not after months of interviews.
Every pod ships with a delivery manager, code-review SLAs, integration with your GitHub / Jira / Monday, and milestone reporting. Outcomes are auditable end-to-end.
Add or release Google Cloud Platform engineers without long-term commitments. Delivery Unit (DU) pricing means you only pay for shipped, accepted work. Unused DUs are refundable.
Most Google Cloud Platform VDC engagements include 2–4 of these specialisms. Each role page covers seniority bands, pod composition, and how to launch.
AiDOOS deploys Google Cloud Platform pods across regulated and non-regulated sectors. Each industry page covers compliance posture, common engagements, and how to start.
Tell us the outcomes you want shipped. We'll come back with a pod composition, milestone plan, and a pricing proposal — usually within 48 hours.