Hire GCP Developers from a Google Cloud Partner

Our Google Cloud developers build and run GCP infrastructure for data intensive applications, AI and ML workloads and modern web services, for teams in India and around the world whose main cloud is Google Cloud. We are a Google Cloud partner with Google Cloud certified engineers.

GCP Development, Accelerated with AI

Cost Reviews

AI helps our engineers read your GCP billing data, spot cost spikes and underused resources, and weigh committed use discounts before the monthly bill arrives.

Security Configuration Reviews

AI helps engineers review IAM policies, firewall rules and service account permissions for misconfigurations, so risky settings are fixed before they become security or compliance problems.

Data Pipeline Tuning

AI helps engineers review BigQuery queries and Dataflow jobs for wasted processing, so data heavy workloads take less time and cost less to run.

Infrastructure as Code

Claude Code drafts Terraform for your GCP infrastructure, and every change is version controlled and reviewed before it reaches production.

What Our GCP Developers Build

Cloud Architecture & Migration

Multi-region GCP architectures with VPC networking, load balancing, and disaster recovery. Migration from on-premise, AWS, or Azure to Google Cloud.

Serverless & Cloud Run

Container-based serverless applications on Cloud Run with automatic scaling, custom domains, and pay-per-request pricing.

Data Engineering (BigQuery)

Data warehousing and analytics on BigQuery. ETL pipelines, scheduled queries, and BI tool integration for large-scale data analysis.

Kubernetes on GKE

Container orchestration with Google Kubernetes Engine. Service mesh, autoscaling, and multi-cluster management for microservices architectures.

Firebase & Real-Time

Firebase-backed applications with real-time databases, authentication, cloud messaging, and serverless functions. Mobile and web integration.

AI/ML Infrastructure

Model training, deployment, and serving on the Gemini Enterprise Agent Platform (formerly Vertex AI). GPU instances, training pipelines, and model monitoring for machine learning workloads.

VETTING PIPELINE

How engineers earn a spot on our team

Our hiring process has three stages, from the application screen to a project deep dive with background verification, and every new engineer then serves a probation period.

4 checks

Application screen

We source engineers across India through LinkedIn, Wellfound, employee referrals and outbound headhunting. Every application is checked for stack relevance, years of experience, English and time zone overlap before it moves to a technical interview.

60 to 90 min

Live coding and scenario questions

A live coding round of 60 to 90 minutes in the primary technology of the candidate, followed by scenario based questions on practical applications of that technology.

3 checks

Project deep dive and background verification

Candidates walk us through a recent production project, covering the architecture decisions and what they would change in hindsight. A third party background verification agency then confirms prior employment, education and identity.

Probation

A probation period follows

New engineers then serve a probation period, and those who do not meet our bar do not continue with us.

How It Works

From the first call to a developer working in your team, you choose who joins and when.

Share your requirements

Tell us the experience level, tech stack, project scope and team setup you need. A 30 minute call is usually enough.

Review shortlisted profiles

Vetted candidates are presented within a week, matched to the brief you shared.

Interview your picks

Interview shortlisted developers directly, through technical interviews, pair programming or whatever your process requires.

Onboard and start

Your developer joins your tools and standups, and onboarding completes in 7 to 14 business days.

Engagement Models

Dedicated Developer

A GCP developer works only on your project, inside the tools and workflows of your team.

Best for Ongoing GCP operations, reliability and cost ownership

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Managed Team

We assemble and manage a GCP team with a tech lead, handling delivery end to end against your requirements.

Best for Ongoing platform and GKE work led by a tech lead

Book a Consultation

Project Based

Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.

Best for Proofs of concept and MVPs on Google Cloud

Book a Consultation

Engagement terms

Vetted candidates are presented within a week, and onboarding completes in 7 to 14 business days.
Your developer works as an extension of your team, directly in your channels.
For international clients, the assigned team aims for at least 4 hours of overlap with your business day, and our night shift team can cover your business hours for support.
Our replacement guarantee gives you a replacement vetted developer at no extra fee if the placed developer is not the right fit or underperforms.
We offer fixed scope for proofs of concept and MVPs, then move to a retainer for ongoing work, so the engagement can scale with you.
Retainers run for at least 3 months, then continue month to month with 30 days notice.
Rates run $25 to $50 an hour depending on seniority, and fixed scope projects have a $10,000 minimum.
We invoice in USD, euros or INR.
We sign a mutual NDA before discovery starts, and IP assignment and all other contract terms are set out in the MSA and SOW you sign when the engagement begins.
Google Cloud and Google Workspace reselling and billing are available in India only.

Read how our engagements work for the detail behind each term.

PRICING

Transparent GCP developer rates, published

$25 to $50 per hour

Dedicated GCP developers, by seniority

$10,000 minimum

Fixed scope projects

US specialists typically bill $150 to $300 per hour for comparable scope. Every engagement is scoped individually before any number becomes a quote.

See all engagement models and hire pricing

Our Work

Travel

Architected a GCP infrastructure for a vacation rental platform handling bookings across 80+ destinations

Compute Engine VM provisioning with auto-scaling configuration to handle seasonal booking traffic spikes

Cloud SQL database setup with automated backups, failover replicas, and query performance optimization

Cloud Storage integration for property images, guest documents, and booking confirmation assets

Firewall rules, VPC configuration, and Cloud Monitoring with custom alert policies for uptime and performance thresholds

+50%

Increase in booking capacity

30%

Reduction in operational cost

40%

Faster booking end to end

View Case Study

Education🇺🇸 USA

Built a unified AI learning platform for a California charter school serving 15,000+ students

Built Brain AI, a retrieval augmented knowledge base that surfaces content and recommendations based on student progress

Integrated two way translation held to a 97 percent accuracy bar across student, teacher and parent surfaces

Delivered web and mobile apps for students, teachers and administrators on one integrated platform

15,000+

Students served

97%

Translation accuracy

50%

Faster content turnaround

View Case Study

Highlands Talkative Assist Flutter mobile app, two way translation between English and Spanish

Highlands English Master Flutter mobile app, original, corrected and translated text

Highlands React web app, learning report creation with course evidence upload and grades

Highlands React web app, learning report list with master agreement status for each student

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Frequently Asked Questions

How much does it cost to hire a GCP developer?

Rates run $25 to $50 an hour depending on seniority, and fixed scope projects have a $10,000 minimum. Your Google Cloud usage is billed separately from our rates. Google Cloud charges for the compute, storage, data and AI services you use, so the architecture sets the bill. Google Cloud and Google Workspace reselling and billing are available in India only.

Where can I hire Google Cloud developers, and how quickly can one start?

You can hire Google Cloud developers from Unico Connect by sharing your GCP requirements on a first call, then interviewing the vetted developers we shortlist for your GKE, BigQuery or Compute Engine work. Vetted candidates are presented within a week, and onboarding completes in 7 to 14 business days. To speed up the match, tell us whether the product is already in production, the problems you face and what has been tried, the work needed and any regulation or process it must follow, and the features or bugs to fix, so we can match the experience the work needs.

How do you vet GCP developers before we interview them?

Our hiring process for GCP developers includes a 60 to 90 minute live coding round on Google Cloud, followed by scenario based questions on practical Google Cloud applications such as Cloud Run and GKE deployments, IAM and BigQuery data pipelines. Candidates who pass walk us through a recent production project and clear a third party background verification. New engineers then serve a probation period, and those who do not meet our bar do not continue with us. You interview shortlisted candidates yourself before anyone joins your team.

Can I hire BigQuery developers for data warehousing and pipelines?

Yes, our GCP developers build data warehousing and analytics on BigQuery, including ETL pipelines, scheduled queries and BI tool integration. BigQuery bills query processing and storage separately, and its on demand model charges for the bytes each query processes, so partitioned and clustered tables and queries that read only the columns they need keep that part of the bill down. When your data already lives in BigQuery, we would build the AI layer on the same platform, so the models and agents sit next to the data they read.

Can I hire a dedicated GCP developer for Compute Engine?

Yes, a dedicated GCP developer from our team can build and run production systems on Compute Engine, Cloud Run and Google Kubernetes Engine, with access, network and audit controls in place before launch. Compute Engine gives you self managed virtual machines, and each one is billed for the vCPUs and memory of the machine type you pick. We choose the region and machine sizes first, because those choices set much of the bill and are expensive to change later.

When should I hire GCP developers rather than AWS or Azure developers?

Hire GCP developers when your product depends on data analytics, AI or Kubernetes, because BigQuery, the Gemini Enterprise Agent Platform (formerly Vertex AI) and GKE are the strongest Google Cloud services. AWS is the better pick when you need the widest service catalogue, and Azure makes more sense when the company already runs on Microsoft 365, Microsoft Entra ID, .NET and Windows Server. We have delivered projects on AWS, Azure and GCP, and we also place AWS and Azure developers when your workload suits another cloud.

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