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Hire Google Cloud Developers

Google Cloud Engineers for Data-Heavy, Container-First Platforms

A shortlist typically within 72 hours, usually contributing inside two weeks, and 30-day replacement support if the fit is wrong (terms in your agreement).

Shortlist typically in 72 hours · 30-day replacement support · Month-to-month

Strong Services, Loose Foundations

Teams usually choose Google Cloud for BigQuery, GKE or Cloud Run, and those services are excellent. The foundations underneath often get less attention: projects created ad hoc, service accounts with owner rights, networking split across shared VPCs nobody documented, and BigQuery costs that jump when someone runs an unbounded query.

A senior GCP engineer sets up the organisation, projects, IAM and networking properly, then builds on the managed services that make Google Cloud worth choosing.

Screening

What We Screen For

Infrastructure as code

Terraform with reviewed changes.

IAM

Least-privilege roles and workload identity.

Containers

Cloud Run and GKE in production.

BigQuery

Partitioning, clustering and cost control.

Networking

Shared VPCs, private access and hybrid connectivity.

Operations

Cloud Monitoring, logging and alerting.

What This Costs You When It Goes Wrong

Surprise BigQuery bills. Queries that scan whole tables without partitioning or clustering are expensive.

Over-privileged service accounts. Broad roles and downloaded keys are a common security weakness.

Inconsistent environments. Console-built resources drift between projects.

Seniority, Defined

Every engineer we put forward has at least five years of hands-on experience. Within that, here is how the levels differ.

Senior Engineer (5–8 years). Builds on Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud SQL and BigQuery, defined in Terraform, with Cloud Build or GitHub Actions.

Lead / Architect (8+ years). Owns organisation and folder structure, IAM, VPC design, security baselines, cost governance and migrations. Often holds Professional Cloud Architect certification.

Common Requests

Migrations to GCP. Moving applications and data from on-premise or other clouds

Containers on Cloud Run and GKE. Serverless containers or managed Kubernetes for your services

BigQuery platforms. Data warehouses with partitioning, clustering and cost controls

Foundations and security. Organisation policies, IAM, VPC Service Controls and logging

What a Good First Month Looks Like

Week one. They review organisation structure, IAM, networking, Terraform and the top cost drivers.

Weeks two and three. First infrastructure changes through code, plus quick security and cost wins.

Week four. A written plan for foundations, security and cost, ranked by risk.

Mistakes We See

Creating projects ad hoc. A folder and project structure makes billing and access manageable.

Using service account keys. Workload identity is safer than downloaded keys.

Unbounded BigQuery queries. Partitioning, clustering and query limits prevent costly mistakes.

How It Works

  1. Discovery, 30 minutes. Your GCP footprint, projects, tooling and goals.
  2. Shortlist typically within 72 hours. Three to five profiles, weighted toward application, data or platform work depending on what you described.
  3. You interview. Your process, your technical test. We suggest asking them to design IAM for one of your services using workload identity.
  4. Onboarded in two weeks. Contracts, NDA, IP assignment, scoped IAM roles and repository access.
  5. 30-day replacement support. One email, and replacement candidates are typically presented within 48 business hours at no extra cost. Full terms →

Rates depend on seniority, scope and engagement length. See the cost guide for market ranges, or tell us the role and we will give you a firm number.

Tell us the role and we will typically send a shortlist within 72 hours.

Tell Us the Role
FAQs

Questions

Do GCP certifications matter?

Associate and Professional certifications are useful signals. We still test design in practice.

Can you reduce our BigQuery costs?

Often, through partitioning, clustering, materialised views and query review.

Cloud Run or GKE?

Cloud Run for most stateless services; GKE when you need more control. We will advise.

Do you work with Firebase?

Yes, for mobile and web back ends.

How fast can someone start?

A shortlist typically within 72 hours and usually contributing inside two weeks.

Get Your Shortlist

Tell us the role. Three to five profiles, typically within 72 hours.