Cloud infrastructure that stays in motion.

Qkiu Motion designs, builds and runs AWS infrastructure, delivery pipelines, backend services and AI features: as code, ready for production, for regulated teams and fast-moving ones.

AWS-certified engineeringProduction work in banking, payments, health and government

From the first account to the last deploy.

Five kinds of work Qkiu Motion takes on. Each one is backed by systems that run in production today.

Proven where reliability matters.

Production work across regulated industries and applied AI. Client names stay confidential; the architecture is shown in full.

  • Enterprise Banking Infrastructure

    Banking

    The AWS foundation for a Tier-1 commercial bank's digital banking platform, serving millions of customers across mobile and web.

    • 4AWS accounts
    • 9Terraform modules
    • 50+pipelines as code
    Full case study
    Architecture diagram of the Enterprise Banking Infrastructure on AWS
  • Fintech Payment Platform

    Payments

    Deployed and ran the servers and release pipelines for a payment platform of 8 backend microservices and 3 frontend apps.

    • 8backend microservices
    • 6payment methods
    • 8currencies
    Full case study
    Deployment architecture of the Fintech Payment Platform
  • HealthTech Platform

    Health

    A cloud-native platform connecting patients and caregivers, with AI document analysis kept safe by Bedrock Guardrails.

    • 7FastAPI microservices
    • 3environments
    Full case study
    AWS architecture of the HealthTech Platform
  • Government Property Platform

    Government

    A monolithic property-acquisition system moved to microservices for a state property development corporation, from citizen registration to payments.

    • 14FastAPI services
    • 3environments
    Full case study
    Architecture diagram of the Government Property Platform
  • AI Media Helper

    Applied AI

    Turns raw video footage into structured editing guidance, using retrieval-augmented generation and agentic reasoning on Amazon Bedrock.

    • 5containers
    • 2Bedrock models
    Full case study
    System architecture of AI Media Helper

How a project moves.

Four stages. Each one ends with something you keep.

  1. Discover

    Your current setup, constraints and goals, mapped together.

    You getA written brief and a first architecture sketch.

  2. Design

    The target architecture and the route to reach it.

    You getAn account and network plan, an infrastructure-as-code module plan, and the risks named up front.

  3. Build

    Infrastructure, pipelines and services, delivered into your own AWS accounts.

    You getTerraform, pipelines and services, with tests.

  4. Run and hand over

    Production tuned and documented, then handed over to your team.

    You getObservability, runbooks, cost and performance tuning, and knowledge transfer.

The engineering behind it.

Certified on AWS, and documented project by project.

John Olamide Alokan

Cloud Engineer & Backend Developer

The work on this page is documented in full in John's portfolio on Qkiu Motion, with the architecture behind each project.

AWS infrastructure · Terraform · CI/CD · FastAPI · Applied AI

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