Google Cloud Platform experts working with AI and data services

GCP
Experts

Leverage Google Cloud's advanced AI and data capabilities with GCP-certified professionals who excel at BigQuery, Kubernetes Engine, and modern cloud-native architectures.

GCP certified
AI/ML focused
Cloud-native expertise
Ready in 48h

GCP Specializations

Find certified Google Cloud professionals who can build AI-powered, data-driven applications on GCP.

GCP Cloud Architect designing cloud-native solutions

GCP Cloud Architects

Architects designing scalable, cloud-native solutions on Google Cloud Platform

Experience Level
5-10 years
Key Technologies
GCP ArchitectureCloud-Native DesignMicroservicesAnthosMulti-CloudSite Reliability
GCP Data Engineer working with BigQuery and analytics

GCP Data Engineers

Data platform specialists building analytics and ML solutions on GCP

Experience Level
4-8 years
Key Technologies
BigQueryDataflowPub/SubCloud ComposerDataprocAI Platform
GCP ML Engineer working with AI platforms

GCP AI/ML Engineers

Machine learning specialists leveraging Google's AI and ML services

Experience Level
4-9 years
Key Technologies
Vertex AIAutoMLTensorFlowAI PlatformNatural Language APIVision API
GCP DevOps Engineer implementing cloud operations

GCP DevOps Engineers

DevOps specialists implementing CI/CD and infrastructure on GCP

Experience Level
4-8 years
Key Technologies
Cloud BuildGKECloud DeployTerraformAnthosCloud Operations

Why Choose Specialists?

GCP compute services (Compute Engine, GKE, Cloud Run)
GCP data analytics (BigQuery, Dataflow, Pub/Sub)
GCP AI/ML services (Vertex AI, AutoML, TensorFlow)
GCP networking (VPC, Cloud Load Balancing)
Infrastructure as Code (Terraform, Deployment Manager)
Container orchestration (GKE, Anthos)
GCP security (IAM, Security Command Center)
Cloud-native application development
Site Reliability Engineering (SRE)
Multi-cloud and hybrid architectures

Common Use Cases

Data Analytics Platform
Machine Learning Solutions
Cloud-Native Applications
Container Orchestration
Real-time Data Processing
AI-Powered Applications
Multi-Cloud Strategy
SRE Implementation

Hiring Challenges

Complex GCP service ecosystem navigation
Limited availability of GCP-certified talent
AI/ML implementation complexity
Container orchestration and Kubernetes management
Cost optimization for data-intensive workloads

Our Solutions

Certified GCP professionals with hands-on experience
Specialized LATAM talent pool with GCP expertise
Deep AI/ML implementation knowledge and best practices
Kubernetes and container orchestration specialists
Data-focused cost optimization strategies

Key Benefits

Access to Google Cloud certified professionals
Strong AI/ML and data analytics expertise
Cloud-native and container orchestration skills
40-60% cost savings compared to US GCP experts
Experience with Google's cutting-edge technologies
Site Reliability Engineering best practices

Core Technology Stack

GCP compute services (Compute Engine, GKE, Cloud Run)
GCP data analytics (BigQuery, Dataflow, Pub/Sub)
GCP AI/ML services (Vertex AI, AutoML, TensorFlow)
GCP networking (VPC, Cloud Load Balancing)
Infrastructure as Code (Terraform, Deployment Manager)
Container orchestration (GKE, Anthos)
GCP security (IAM, Security Command Center)
Cloud-native application development
Site Reliability Engineering (SRE)
Multi-cloud and hybrid architectures

No pressure. Let's talk about what you have in mind.

Tell us your goals — we'll listen and suggest the best next step.

Frequently asked questions

Hiring & Fit

Last updated: December 2024

Usually in days, not months. We send a pre-vetted shortlist and schedule interviews right away.

We value quality over volume: typically 2–3 finalists with true technical and cultural fit.

Yes. You own the final process. We do the pre-vetting and you confirm the fit.

All candidates work U.S. business hours, with fluent English and assessed soft skills (communication, proactivity, teamwork).

Yes. Replacement at no cost during the agreed period in the contract.

Vetting & Quality

A mix of 1:1 technical screening, practical exercises, and real-project reviews. We validate seniority, architecture, best practices, and problem-solving.

Yes. We check business-level English (written/oral) and core competencies: communication, ownership, and remote collaboration.

Yes—upon request we can include background checks and reference calls.

Primarily Senior/Lead. We can also assemble pods with a seniority mix if needed.

Collaboration & Integration

Two modes: client-managed (you lead day-to-day) or co-managed (we add a Lead/PM for support and reporting).

Within 24–72h we define access, tooling, rituals (daily/retro/ceremonies), and initial goals. We aim for impact from day one.

We plug into your stack: GitHub/GitLab, Jira/Linear, Slack/Teams, CI/CD, and your cloud (AWS/Azure/GCP).

We align on KPIs and reporting cadence (velocity, quality, lead time, bug rate). Full transparency on progress and risks.

Pricing & Contracts

Monthly (full-time) or hourly, depending on your needs. No hidden fees.

We recommend monthly commitments with a short notice for ramp-down. Flexible to your roadmap.

USD by default, standard terms (Net 15–30). We can align to your policies if needed.

Defined in the contract. We plan continuity coverage for local/US holidays if the project requires it.

Yes. We offer a conversion option with clear, fair terms.

You do. All IP and code delivered belong to the client. We sign NDAs and assignment agreements.

Compliance, Security & Legal

We operate with Employer of Record (EoR)/local hiring where applicable, covering contracts, payroll, and labor aspects per country.

Devices with MDM, VPN, MFA/SSO when required, and security policies aligned to industry standards.

Yes. We maintain policies and practices for regulated environments and sign DPAs and security addenda as needed.

We can limit access and adjust workflows per your data and compliance policies.

Scaling & Continuity

Within weeks we can double capacity if pipeline and demand allow.

We plan backups and handovers. If there's a departure, we trigger replacement to your cadence.

We invest in benefits, career paths, and coaching, resulting in high retention and knowledge continuity.

Yes. We build pods with Tech Lead, Devs, QA, DevOps/Cloud, and, if needed, PM/Design.

Roles & Scope

Full-Stack, Frontend/Backend, Mobile (iOS/Android/RN/Flutter), DevOps/Cloud, Data/ML/AI, QA (Automation/Manual), Security, Platform, Architecture, plus technical PM/PO.

SaaS/Software, FinTech, eCommerce/Retail, HealthTech, Logistics, MarTech, Media/Entertainment, and more.