Hire GCP
Hire dedicated Google Cloud developers.
Google Cloud engineers working across Cloud Run, GKE and BigQuery, particularly where data workloads are central.
What You Get
What sets these engineers apart.
Cloud Run used well
Excellent fit for containerised services with variable traffic, with concurrency and cold start behaviour tuned deliberately.
BigQuery cost controlled
Partitioning, clustering and query design that keeps scanned bytes — and therefore the bill — under control.
IAM and project structure
Project hierarchy, service accounts and workload identity configured so permissions stay comprehensible as the estate grows.
Core Skills
What they work with.
- Cloud Run, GKE and Cloud Functions
- BigQuery modelling and optimisation
- Cloud SQL, Spanner and Firestore
- Pub/Sub and Dataflow pipelines
- Cloud Build and Artifact Registry
- Terraform for GCP
Engagement
$3,500 / month
Per GCP engineer, 160 hours per month, fully dedicated. Deployed within 48 business hours, scale up or down on two weeks' notice, full IP ownership from the first commit.
FAQ
Common questions.
Is Cloud Run suitable for production?
Yes, and for many containerised services it is a better fit than Kubernetes, because it removes cluster operation entirely while keeping container portability.
Can they optimise our BigQuery costs?
Yes. Partitioning, clustering, materialised views and rewriting the queries that scan far more than they need are the usual levers.
Do they work with Vertex AI?
Yes, for model deployment and the pipelines around it, typically alongside application engineers rather than as isolated ML work.
Get In Touch
Tell us what you are building.
Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.
Or email info@nimlogixtechnologies.com