How large does an engineering team need to be for this to pay off?

Typically around five squads. Below that, a small set of shared templates and pipelines gives most of the benefit without the cost of a dedicated platform product.

What if teams do not adopt the platform?

Then the platform is not good enough yet — it should be optional and obviously faster than doing it yourself. We treat it as a product with users, adoption metrics, and a roadmap, not a mandate.

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

Platform Engineering & Developer Experience

Golden paths that make the secure way the fastest way.

Book Free Consultation All Services

Minutes

From idea to running service skeleton

60%

Fewer platform support tickets

Consistent

Standards applied without policing

Overview

What Platform Engineering & Developer Experience means at NeonAITech

When every team reinvents deployment, logging, and secrets, delivery slows and standards drift. We build internal developer platforms — self-service templates, paved-road pipelines, and a service catalog — so engineers ship without filing tickets and platform standards apply automatically.

Tools & Platforms

Backstage
Crossplane
Kubernetes
Terraform
Argo CD
OpenTelemetry

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

What We Deliver

Developer Portal & Catalog

A Backstage-based portal with service ownership, documentation, dependencies, and scorecards in one place.

Golden Path Templates

Scaffolded service templates that arrive with CI, observability, security, and infrastructure already wired up.

Self-Service Environments

On-demand ephemeral environments with automatic teardown, so testing never waits on a shared staging queue.

Capabilities

Inside the Engagement

Backstage and service catalogs

Platform-as-product operating model

Ephemeral preview environments

Standardised observability and logging

Developer experience measurement

How We Work

A delivery rhythm you can see into

Every Platform Engineering & Developer Experience 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.