01
GKE Autopilot
Managed Kubernetes with Google running the nodes, Workload Identity instead of key files, and maintenance windows that suit your releases.
Senior / Staff
Hire senior Google Cloud engineers and architects
Google Cloud engineers who build container platforms, serverless services and analytics pipelines on GKE, Cloud Run and BigQuery — managed with Terraform from day one.
Role profile
What we look for in a Senior Google Cloud (GCP) Engineer
Seniority and experience are agreed in the proposal, and you interview every engineer before they start. These are the skills that interview should test.
02
Serverless on Cloud Run
Containerized APIs that scale with traffic and down to zero when idle, with minimum instances where cold starts would hurt.
03
BigQuery and Vertex AI
Partitioned, clustered warehouse tables, dbt transformations, and Vertex AI pipelines fed from the same data.
Typical work
What a Senior Google Cloud (GCP) Engineer typically works on
Examples of the scope this role is hired for. Your statement of work sets the actual deliverables and how they are accepted.
- 01A Cloud Run service platform with CI/CD, minimum instances and per-service budgets
- 02A BigQuery warehouse with dbt models and cost controls on queries
- 03GKE Autopilot clusters on release channels with maintenance windows
- 04Cloud Identity and IAM governance tied to Google Workspace SSO
Stack and tools
What this role works with day to day. Tell us your stack and we’ll say plainly which parts we can staff.
- Google Cloud
- GKE Autopilot
- Cloud Run
- BigQuery
- Vertex AI
- Terraform
Technology guides
Related service
Cloud & DevOps engineeringA ranked plan to shrink the cloud bill and make deploys boring — with guardrails your team keeps running after we leave.
How hiring works
Four steps, agreed in writing before anyone starts
01
Tell us the role
The stack, the seniority you need, the hours you want covered, and any certifications the work requires. We reply within one business day.
02
We propose engineers
A written proposal sets out who we'd put forward, their seniority and experience, the scope, and the terms. If we can't staff the role well, we say so.
03
You interview every engineer
Nobody starts on your codebase until you've interviewed them and agreed. Use the skills on the role page as your interview checklist.
04
Working arrangements go in the SOW
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
QuantmHill provides development teams from India for Indian startups and SMEs. Role profiles describe project capabilities; availability is confirmed for your engagement. Our team works on India Standard Time. Project working hours, availability and handoff responsibilities are agreed before kickoff.
Need specific certifications? Tell us at the start and we'll confirm whether we can staff to that requirement before you sign. There are no recruiting fees.
FAQ
Questions about hiring a Senior Google Cloud (GCP) Engineer
Answered the way we would on a call. If yours isn’t here, send it — we reply within one business day.
When Kubernetes, BigQuery analytics or Vertex AI sit at the center of your product, Google Cloud's managed versions are strong. If your team and tooling already live on AWS, switching rarely pays for itself — and we'll tell you if that's the case.
Cloud Run runs any container and serves many requests per instance — up to 1,000 concurrent, configurable — which suits steady HTTP traffic. Lambda handles one request per execution environment and fits event-driven work. Both have cold starts; Cloud Run's minimum instances keep some warm.
Need specific certifications? Tell us at the start and we'll confirm whether we can staff to that requirement before you sign.
Related roles
Similar and adjacent roles
Add a Senior Google Cloud (GCP) Engineer to your team
Tell us the stack, the seniority you need and the hours you want covered. We reply within one business day, and you interview every engineer before they start.