What we deliver
Day-One Engineering Platform
Hundreds of engineers joining a GCC need governed cloud accounts, CI/CD, observability and data access on their first day, all signed off by HQ security. We build the platform so every new team ships the same way from week one.
Governed cloud, paved roads and data platforms before the hiring wave
What the GCC actually needs
New centres often hire faster than they can provision. Engineers wait weeks for access, teams invent their own pipelines, and cloud spend scales faster than headcount.
Who buys it
Where it fits
Typically t-6 to t0, t-3 to t+6, t+6 to t+18 relative to launch. See the lifecycle.
How it's fulfilled
Delivered by Scutiger.
What we deliver
Cloud landing zones and FinOps
Multi-account structure, identity federation with the HQ IdP, guardrail policies and cost controls, so India teams get governed cloud on day one and finance gets visibility from month one.
Golden paths for every team
CI/CD, observability, security scanning and service templates as a paved road. The compliant way becomes the default way.
Data and ML platforms
Warehouse or lakehouse foundations, feature stores, model registries and serving, for centres whose mandate includes analytics and AI.
What this covers
- Cloud landing zones (AWS / Azure / GCP)
- Identity and SaaS provisioning from the HQ IdP
- CI/CD, observability, golden paths
- Cloud FinOps guardrails
- Lakehouse, feature store, model registry and serving
Engagement shape
Fixed-scope platform build, followed by an optional platform-team pod that operates and evolves it.
Questions about engineering platform
Should the GCC have its own cloud landing zone or use HQ’s?
Usually an extension of the HQ organisation with India-specific accounts, guardrails and cost allocation. That way HQ security keeps central control while India teams get autonomy. We design it with both sides in the room.
What is a golden path?
A pre-approved, automated route from code to production, covering templates, pipelines, scanning and observability, that makes the secure, compliant way the easiest way for every new team.
Can you build the data platform for an analytics or AI mandate?
Yes. Lakehouse foundations, governance, feature stores, registries and model serving are a core part of our platform engineering practice.
When should the platform be built?
Before or alongside the first engineering hiring wave. Retrofitting a platform onto twenty teams who've each built their own pipelines is several times harder.
Talk to us about engineering platform
Tell us your stage, city and timeline. Our team has set up and scaled GCCs for global enterprises, and we'll come to the call with a view on your centre.
We reply with proposed call slots within one business day.