We are already in the cloud but it grew organically. Where do you start?

With a Well-Architected review covering security, cost, reliability, and operations. You get a prioritised remediation backlog, and we usually start with identity and network segmentation because they unblock everything else.

Should we go multi-cloud?

Only with a concrete driver such as regulation, acquisition, or a specific managed service. Multi-cloud by default doubles operational surface for benefits most organisations never realise.

How quickly can an engagement start?

Discovery usually begins within one to two weeks of scope agreement, and a delivery team is typically mobilised within three to four weeks depending on the skills involved.

Can you work alongside our in-house team?

Yes — most of our engagements are blended. We work in your repositories, ceremonies, and tooling, and we plan for knowledge transfer from the start so capability stays with you.

How are engagements priced?

Fixed price for well-bounded projects, monthly capacity for dedicated pods, and outcome-linked SLAs for managed services. We are explicit about assumptions and what would change the number.

NeonAITech services — AI and data engineering, product engineering, cloud and DevOps, managed operations, security and quality

Cloud Platform Engineering

Landing zones and infrastructure that stay secure as you grow.

Book Free Consultation All Services

Minutes

To provision a compliant environment

100%

Infrastructure defined as code

99.9%+

Platform availability targets

Overview

What Cloud Platform Engineering means at NeonAITech

We design and build cloud foundations on AWS, Azure, and GCP — multi-account landing zones, network topology, identity, and infrastructure as code — so every workload you deploy afterwards inherits security, cost controls, and reliability by default instead of by review.

Tools & Platforms

AWS
Azure
Terraform
Kubernetes
Helm
Vault

We are not tied to a single vendor — the stack follows the problem, your existing estate, and your team’s skills.

What We Deliver

Landing Zone & Foundations

Multi-account structure, network design, identity federation, and guardrails aligned to the Well-Architected Framework.

Infrastructure as Code

Terraform modules and pipelines that make environments reproducible, reviewable, and destroyable on demand.

Container & Serverless Platforms

Production Kubernetes or serverless runtimes with autoscaling, secrets management, and workload isolation.

Capabilities

Inside the Engagement

AWS, Azure, and Google Cloud architecture

Terraform and policy-as-code guardrails

Kubernetes, EKS, AKS, and GKE

Zero-trust networking and private connectivity

Multi-region resilience design

How We Work

A delivery rhythm you can see into

Every Cloud Platform Engineering engagement runs the same four phases, with AI used wherever it removes effort rather than adds novelty.

01
Discover
We map the current state, agree the outcome, and size the work — so scope is a shared decision, not a surprise.
02
Design
Architecture, delivery plan, and success measures are set before build, with costed options where trade-offs exist.
03
Build
Short increments with working output you can review, steer, and stop — never a black box until go-live.
04
Operate
We measure against the agreed outcomes, hand over documentation, and stay on for support where you want it.

Engagement Models

Buy it the way that fits

Fixed-Scope Project

A defined outcome, timeline, and price. Best when requirements are clear and the deliverable is well bounded.

Dedicated Pod

A cross-functional team working to your backlog and priorities, scaling up or down with a month’s notice.

Managed Service

Ongoing ownership against agreed SLAs, with a share of capacity reserved for continuous improvement.