Cloud
Google Cloud
Google Cloud Engineers, Ready When You Are.
Senior Google Cloud engineering without the six-month hiring cycle. Our GCP specialists build and operate GKE clusters, BigQuery data platforms, Cloud Run services, and Vertex AI pipelines — integrated into your team from the start. We work with engineering organizations across the United States, Germany, the Netherlands, and Scandinavia, with 4–6 hours of daily timezone overlap and workloads deployed in europe-west3 (Frankfurt) and europe-west1 (Belgium) for GDPR data residency.
Use Cases
What we build with Google Cloud.
GKE & Microservices Platforms
Production Kubernetes on GKE Autopilot with workload identity, Config Connector for GCP-native resource management, and Anthos Service Mesh for traffic control. We handle cluster fleet management, binary authorization for supply chain security, and multi-cluster ingress. Operating GKE platforms for mobility startups in Munich and marketplace companies in Stockholm running 50+ microservices.
BigQuery Data Warehousing
Petabyte-scale analytics on BigQuery with partitioned and clustered tables, materialized views for dashboards, and BI Engine for sub-second Looker queries. We implement slot reservations for cost predictability and row-level security for multi-tenant datasets. Built data warehouses for media companies in Amsterdam analyzing billions of content interactions with europe-west3 data residency.
Cloud Run & Serverless Applications
Containerized applications on Cloud Run with min-instance configuration for cold start elimination, VPC connectors for private database access, and Cloud CDN for edge caching. We build auto-scaling APIs that handle traffic spikes without infrastructure babysitting. Deployed Cloud Run services for edtech platforms in Boston and healthtech startups in Copenhagen serving 100K+ concurrent users.
Machine Learning & Vertex AI
End-to-end ML pipelines on Vertex AI with custom training jobs, model registry, and managed prediction endpoints. We implement feature stores for real-time serving, ML metadata tracking, and A/B model deployments. Built recommendation engines for e-commerce companies in Paris and fraud detection models for payment processors in Dublin using GCP's TPU infrastructure.
Data Engineering with Dataflow & Pub/Sub
Real-time and batch data pipelines using Apache Beam on Dataflow, with Pub/Sub for event ingestion and Cloud Composer (Airflow) for orchestration. We design exactly-once processing semantics, windowing strategies, and dead-letter handling. Processing millions of IoT sensor events daily for smart-building companies in Rotterdam and logistics telemetry for fleet operators in Texas.
Hybrid & Multi-Cloud with Anthos
Anthos deployments bridging on-premises VMware clusters and GCP for organizations not ready for full cloud migration. We configure Anthos clusters on bare metal, set up Config Management for policy-as-code, and implement Migrate for Anthos to containerize legacy VMs. Delivered hybrid architectures for automotive suppliers in Stuttgart and government contractors in Virginia with strict data locality rules.
Expertise
How we work with Google Cloud.
GCP Networking & Connectivity
Shared VPC architectures, Private Service Connect, Cloud Interconnect, and Cloud NAT configuration. We design hub-and-spoke topologies using VPC Network Peering with global routing and build firewall policies using hierarchical rules at the organization level. Deep expertise in GCP's premium-tier network for low-latency cross-region traffic between europe-west3 and us-central1.
Identity & Security on GCP
Organization-level IAM policies, Workload Identity Federation for keyless authentication from CI/CD, VPC Service Controls for data exfiltration prevention, and Security Command Center for vulnerability management. We implement BeyondCorp-style zero-trust access for internal applications and manage KMS keys in europe-west3 for EU data sovereignty requirements.
Infrastructure as Code for GCP
Terraform with the Google provider, organized into reusable modules for GKE, Cloud SQL, Cloud Run, and networking. We also work with Pulumi for teams that prefer imperative IaC and Config Connector for Kubernetes-native GCP resource management. State managed in GCS with remote locking, integrated into GitHub Actions or Cloud Build pipelines.
Cost Management & Committed Use
GCP billing analysis with BigQuery billing exports, custom Looker Studio dashboards, and budgets with programmatic alerts. We right-size Compute Engine instances using Recommender API, implement committed use discounts for steady-state workloads, and design preemptible/spot VM strategies for batch processing. Typically deliver 30–40% cost reduction in the first quarter.
Monitoring with Cloud Operations
Cloud Monitoring dashboards with SLO-based alerting, Cloud Logging with log-based metrics, and Cloud Trace for distributed request analysis. We set up uptime checks, create alert policies aligned with error budgets, and integrate with PagerDuty for on-call workflows. For teams preferring open-source, we deploy a Prometheus/Grafana stack alongside GCP-native monitoring.
Why us
Why TBI for Google Cloud.
Fast, No-Friction Onboarding
Our GCP engineers hold Professional Cloud Architect and Professional Data Engineer certifications and have operated production workloads on GKE, BigQuery, and Cloud Run. They review your GCP organization hierarchy and Terraform modules before joining — productive from the first standup, not the first month.
AI-Augmented Engineering Workflow
Every engineer leverages AI-native tools — Cursor, Copilot, and custom LLM pipelines — for Terraform generation, IAM policy analysis, and BigQuery SQL optimization. This accelerates infrastructure buildouts and reduces configuration drift by catching issues before they reach production.
Timezone Overlap with US & EU
Based in IST (UTC+5:30), our engineers overlap 4–6 hours with CET and 3–4 hours with US Eastern. We structure sprints so collaborative work — architecture reviews, pair debugging, incident response — falls in shared hours, while heads-down IaC work and pipeline builds happen asynchronously.
GDPR-First Cloud Architecture
We treat EU data residency as an architectural constraint, not an afterthought. Workloads deploy to europe-west3 (Frankfurt) or europe-west1 (Belgium) by default, organization policies restrict resource creation to approved regions, and VPC Service Controls prevent data from leaving EU boundaries. DPAs are signed before the first line of code.
Related
Our Google Cloud teams often ship with.
FAQ
Common questions.
How much does it cost to hire a dedicated Google Cloud engineer offshore?
GCP engineers start at $5,500/month for a full-time dedicated role. Specialists in BigQuery, Vertex AI, or GKE range from $7,000–$10,000/month depending on the depth of expertise required. This includes full integration with your Slack, GitHub, Jira, and GCP project access. Compared to US-based GCP engineers at $175,000–$210,000/year, or German-market equivalents at €90,000–€130,000/year, you save 60–70% while getting engineers with real production GCP experience.
How quickly can a GCP engineer be onboarded?
Team augmentation onboarding takes 2–3 days. Before starting, our engineers review your GCP organization structure, IAM setup, Terraform repositories, and CI/CD pipelines so they arrive ready to contribute. For project-based work like landing zone buildouts or data platform migrations, scoping and staffing typically takes 1–2 weeks depending on the number of workloads and target regions.
Do your engineers have experience with BigQuery and GCP's data stack?
Extensively. Our data engineers build and operate BigQuery-centric platforms with Dataflow for ETL, Pub/Sub for real-time ingestion, and Cloud Composer for orchestration. We handle partitioning strategies, slot management for cost control, row-level security for multi-tenant environments, and BI Engine acceleration for Looker dashboards. Several of our engineers hold GCP Professional Data Engineer certification.
How do you handle GDPR and data residency requirements on GCP?
We enforce data residency through GCP Organization Policy constraints that restrict resource creation to europe-west3 (Frankfurt) and europe-west1 (Belgium). Terraform modules default to EU regions, Cloud KMS keys are created in EU locations, and VPC Service Controls create security perimeters around sensitive data. We sign DPAs with all EU clients and implement privacy-by-design patterns for personal data processing.
What timezone overlap do your GCP engineers provide?
Our team operates from IST (UTC+5:30), giving 4–6 hours of overlap with Central European Time and 3–4 hours with US Eastern. For GCP-specific work, we align infrastructure changes and maintenance windows with your business hours so rollbacks can happen with your team online. During migrations or critical deployments, engineers extend availability to cover your full working day.
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