Google Cloud development services

Google Cloud development services

Outsource Google Cloud to a senior nearshore team, BigQuery, GKE, and Vertex AI work, done in your time zone.

Applebees
KPMG
Mastercard
Microsoft
NetJets
Toyota
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
WHO WE ARE

A senior Google Cloud team you can outsource to

FusionHit is where US teams outsource Google Cloud without the cost and lead time of hiring in-house. Senior nearshore engineers, certified on GCP and fluent in data and container platforms, work in your time zone as an extension of your team.

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WHAT WE DO

Google Cloud services we provide

One senior team across the full GCP lifecycle, from a migration to the data platform it feeds.

Cloud migration and modernization

Workloads moved onto Cloud Run, GKE, and Cloud SQL without a rewrite as the price of entry.

GKE and Cloud Run platform engineering

Container platforms right-sized and secured, so the cluster stops being the biggest line item.

BigQuery and analytics engineering

Warehouses and pipelines built with partitioning, clustering, and cost control designed in.

Vertex AI and MLOps

Models taken past the notebook into monitored, versioned production services.

DevOps and Terraform automation

Reproducible environments and delivery pipelines instead of console-built infrastructure.

Cost optimization and managed operations

Query tuning, Committed Use Discounts, and SLO-based reliability work.

Why FusionHit

Why US companies outsource Google Cloud to us

Certified GCP engineers

Architects and data engineers with named Google Cloud certifications, and approved by you before they start.

Real-time collaboration

Nearshore engineers on US hours, working live in your project, your tools, and your standups.

Flexible engagement

Scale your GCP team up or down as your migration and roadmap move.

Integrated partnership

We work as an extension of your engineering and data teams, not a hands-off vendor.

Have a BigQuery bill or a GCP migration to sort out?

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
Engagement models

Engage a Google Cloud team the way that fits

Pick the model that fits how your team works today.

Staff Augmentation

Add senior GCP engineers to your existing team, under your direction.

Dedicated Development Teams

A stable GCP team that works only on your platform, as an extension of yours.

Full Project Outsourcing

Hand us the migration or data platform end to end, from assessment to cutover and support.

Client Voices

What US teams say about working with us

Real clients, on camera, on what it's actually like to work with us.

FusionHit's culture really is to ingrain with your company and understand your business drivers. If you're looking for an extension to your team, FusionHit is an absolute must-talk-to company.

Glass House Guide and APG Emerging Tech

Justin Cullifer

Founder

The team has been able to stay as a team for two years now. A single team, with nobody leaving. I've had a really stable team that I've seen grow in strength.

CSE Insurance Group

Mark Chequer

CIO

FAQ

FAQs about our Google Cloud development services

01

Why outsource Google Cloud work instead of hiring in-house?

GCP-native engineers are scarcer in the US market than AWS or Azure equivalents, which makes hiring slow and expensive. Outsourcing gets you certified people in days at 30-50% below domestic rates. If you would rather bring talent onto your own payroll, see hire Google Cloud developers.
02

How much do your Google Cloud development services cost?

It depends on team size, seniority, and engagement model (staff augmentation, a dedicated team, or full project outsourcing). Senior LATAM rates run 30-50% under US equivalents, with a line-item estimate on the first call and no hidden overhead.
03

Which Google Cloud certifications do your engineers hold?

We publish the count by credential (Professional Cloud Architect, Cloud Developer, Cloud DevOps Engineer, Data Engineer, Machine Learning Engineer) and name the certified engineers on your account before work starts.
04

Can you cut our BigQuery costs?

Usually yes, and the levers are specific: partitioning and clustering, materialized views, rewriting the handful of queries doing most of the damage, and choosing between on-demand and slot reservations with your actual usage in front of us.
05

We have outgrown Firebase. Can you re-platform us without a rewrite?

Yes, and incrementally. Services move to Cloud Run and Cloud SQL one at a time while the product stays live, rather than a cutover that has to succeed on the first attempt.
06

Can you support a multi-cloud setup instead of moving us fully to GCP?

Yes. Plenty of teams keep workloads on AWS and run data on GCP. What matters is one consistent story for infrastructure as code, identity, and observability across both.
07

Can you build production ML on Vertex AI, or only prototypes?

Production, with monitoring, versioning, retraining paths, and cost controls. A model that only works in a notebook is not a deliverable.
08

How do you handle data residency and compliance on GCP?

Region and organization policy constraints are set before any data moves, with encryption, IAM boundaries, and audit logging configured to the control set your auditors use.

Ready to build on Google Cloud?

Tell us what you're building or moving, and we'll show you the GCP team that can do it.

Trusted by leading teams

  • Mastercard
  • NetJets
  • KPMG
  • Applebees

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