Hire developers · AI & Cloud

AI & Cloud

Hire GCP engineers

The smallest of the three pools in India, and concentrated around data and ML work rather than general infrastructure.

Category
AI & Cloud
Roles
3
Screening
By an engineer, with written evidence
Terms
Quoted per role, in writing

What they are hired to build

The work, before the CV.

A role written against the work gets a better shortlist than a role written against a stack. These are what GCP engineers are usually brought in to do.

Roles we recruit: GCP cloud engineer · Data platform engineer (GCP) · ML infrastructure engineer.

  • BigQuery-centred data platforms
  • GKE workloads
  • Vertex AI and ML infrastructure
  • Analytics estates built on Google's data stack

The technical screen

What the conversation actually covers.

Every candidate has a real technical conversation with an engineer who has done the job, and you get written evidence per competency. In GCP, that conversation covers the following.

Usually assessed alongside: BigQuery, Terraform, Kubernetes, Python.

  • BigQuery cost and partitioning — the bill is the tell
  • IAM and the project/folder hierarchy at organisation scale
  • GKE operation, not just deployment
  • Where they have used managed services versus rebuilt them
Worth saying up front

The senior GCP pool in India is small. Expect a longer search than the equivalent AWS role, and we will give you that timeline before you start.