Google Cloud Development

Innovate faster with Google Cloud Platform experts

Build intelligent, data-driven applications with GCP specialists who leverage Google's cutting-edge infrastructure. Our cloud engineers deploy scalable solutions using BigQuery, Kubernetes, and advanced AI/ML services.

Reference Google Cloud architecture: edge, compute and state tiersCloud DNS resolves to a global external HTTPS load balancer on an anycast address, with Cloud CDN caching at the edge and Cloud Armor enforcing WAF policy. The load balancer routes to Cloud Run through a serverless network endpoint group. Services connect to Cloud SQL for PostgreSQL on port 5432, Memorystore for Redis on 6379, and Cloud Storage for objects.EdgeComputeStateA / AAAAinspectTLS 1.3serverless NEG54326379objectsCloud DNSmanaged zoneCloud CDNedge cacheCloud ArmorWAF policyHTTPS LBanycast addressCloud RunautoscaledCloud SQLPostgres, HAMemorystoreRedisCloud Storageobject storage[1] solid: request path[2] dashed: control path[3] multi-zone, one region

Why teams build on Google Cloud

What Google Cloud is good at, and what that buys you

Scoped in writing

What we are building, what we are deliberately not building, and how we will know it works — agreed before the first commit rather than discovered in the third month.

Built to be handed over

Code, documentation and the reasoning behind decisions are written for whoever inherits them. Handover is designed in from the start, not assembled at the end.

Production from day one

Tests, CI and observability are part of the first sprint. Nothing ships that cannot be deployed, monitored and rolled back.

You own all of it

Source, infrastructure and accounts are yours throughout. No proprietary layer, no dependency on us to keep it running.

Direct access

You talk to the people writing the code. Questions get answered by whoever made the decision, not relayed through an account layer.

Scope that can change

Priorities move. The engagement is structured so that is a conversation about sequence, not a change order.

The Google Cloud ecosystem we work across

The parts of the Google Cloud ecosystem we build with

Core Expertise

  • Advanced Google Cloud development
  • Architecture and design patterns
  • Performance optimization
  • Best practices and standards
  • Code quality and testing

Development Tools

  • Modern development frameworks
  • Version control systems
  • CI/CD pipelines
  • Testing frameworks
  • Development environments

Integration & APIs

  • RESTful API development
  • Database integration
  • Third-party services
  • Cloud platforms
  • Microservices architecture

Quality & DevOps

  • Automated testing
  • Code review practices
  • Deployment automation
  • Monitoring and logging
  • Security best practices

How We Deliver Google Cloud Development

The same Google Cloud work, structured three ways. Which one fits depends on how much of the problem is already defined.

Delivery Models
Software Staff
Augmentation
Dedicated Outsourced
Development Team
Software Project
Management & Delivery
Expand your team quickly
Add our developers to your team
Get a complete, dedicated team
You manage one of our teams
We handle everything
Access to our vCTO Consulting

Roles on a Google Cloud Project

The people a Google Cloud project usually needs, and what each of them owns.

Google Cloud Developer

Builds and operates the workload on Google Cloud, from provisioning to deployment and cost.

Cloud Architect

Designs the account structure, network topology and service selection the workload runs on.

Platform Engineer

Builds the infrastructure as code, environments and deployment path teams ship through.

Security Engineer

Sets identity, access boundaries, encryption and audit logging, and reviews them against your policy.

Site Reliability Engineer

Defines the monitoring, alerting and runbooks that keep the service healthy in production.

Why teams choose Jishu Labs for Google Cloud

What working with us on cloud solutions actually looks like

Rapid Time-to-Market

Launch your cloud solutions sooner with our experienced Google Cloud developers and proven development process.

Production-Ready Quality

Apps built with best practices, comprehensive testing, and performance optimization from day one.

Scalable Architecture

Future-proof solutions designed to grow with your user base and business needs.

Ongoing Support

Continuous maintenance, updates, and feature enhancements to keep your app competitive.

Seamless Integration

Our developers integrate smoothly with your existing team and workflows.

Deep Expertise

Years of Google Cloud experience across diverse industries and use cases.

Systems we build with Google Cloud

Representative systems we build with Google Cloud. These describe the kind of work the stack supports, not delivered client projects.

E-Commerce Mobile App

Retail

Build a scalable shopping app, enabling customers to browse, purchase, and track orders seamlessly on multiple platforms.

Healthcare Patient Portal

Healthcare

Develop a HIPAA-compliant cloud solutions allowing patients to book appointments, access medical records, and communicate with healthcare providers.

Fintech Investment App

Finance

Create a real-time stock trading and portfolio management app with advanced charts, alerts, and secure transactions.

AI Tools We've Shipped

Kozo

Describe your app in plain English and get a normalized, indexed, production-ready Postgres schema — with a live ER diagram, multi-format export, health scoring, sample data, and migrations.

Shivo

Turn an idea into clear PRDs, specs, and requirements — with quality linting, acceptance criteria, review workflows, and version diffs.

Keisan

Turn a project brief into a defensible, itemized cost and timeline estimate — with rate cards, scenario modeling, margins, and client-ready proposals.

Kiku

Record or upload conversations and get accurate transcripts, speaker labels, summaries, and action items — searchable across every meeting.

Kioku

Capture the decisions your team makes and the reasoning behind them — structured ADRs, semantic search, and a decision timeline so context is never lost.

Sensei

Understand and review code with an AI mentor — multi-dimensional analysis, quality scoring, and best-practice guidance for any codebase.

Michi

Turn any goal into a personalized, step-by-step learning roadmap — with curated resources, milestone tracking, prerequisites, and skill assessments.

Jumbi

Assess your AI readiness across security, code quality, and coverage — with a scorecard, gap analysis, a prioritized action plan, and peer benchmarks.

Frequently Asked Questions about Google Cloud Development

More in Cloud Platforms

Managed infrastructure across the three major clouds.

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