TL;DR: Fix early GCP architecture decisions before they slow down growth—so your platform scales without becoming technical debt.
Digital product teams and high-growth startups share a specific architectural challenge: you need to move fast enough to find product-market fit, but the infrastructure decisions you make in the first 12 months follow you for the next five years. The GCP platform you cobble together to hit your launch deadline becomes the platform you’re still operating — and working around — when you’re 10x the size.
I’m Amit Malhotra, a Principal GCP Architect based in Toronto with 20+ years in IT and 6+ years hands-on with Google Cloud, Terraform, GKE, and DevSecOps. I work with digital product teams and high-growth startups who have hit the point where their infrastructure is starting to slow them down — and who want to fix it properly rather than add more workarounds. I’ve worked with SaaS teams at every stage from pre-launch through rapid scaling, and I know the difference between architecture that holds up under growth and architecture that becomes a liability the moment it’s stressed.
Every engagement I run is guided by the SCALE Framework — my structured GCP architecture methodology covering Security by Design, Cloud-Native Architecture, Automation with Terraform, Lifecycle Operations through DevSecOps, and Elastic Scalability. It’s designed to give fast-moving teams a platform foundation that doesn’t need to be rebuilt every time the company grows.
I’m typically engaged when a digital product team or startup has crossed a growth threshold where the infrastructure that got them here is now getting in their way:
The platform was built to ship fast, not to scale — Cloud Run services or VMs provisioned manually, no Terraform, no reproducible environments, and the founding engineer is the only person who knows how everything is connected
Deployments are becoming events — CI/CD pipelines that were hacked together at launch now take 45 minutes, break unpredictably, require manual steps, and make every release feel like a risk rather than a routine
The team is growing but the platform isn’t — new engineers can’t provision environments without help from the person who built the original infrastructure, and every new service requires custom setup from scratch
GCP costs are growing faster than the product — no autoscaling strategy, over-provisioned resources running 24/7, and no visibility into what’s actually driving the monthly GCP bill
The first enterprise customer or investor due diligence is asking security questions — and the answers are uncomfortable. No formal IAM model, static credentials, no audit logging, and infrastructure that hasn’t been reviewed since it was first provisioned
Moving to Kubernetes felt like the right call but GKE is now adding complexity rather than reducing it — no clear operational model, no cluster hardening, and the team spending time managing infrastructure instead of shipping product
Move Fast — On a Platform That Can Handle It
The goal for digital product teams isn’t to slow down and build perfect infrastructure — it’s to build infrastructure that’s good enough to stop being the bottleneck. There’s a version of your GCP platform where deployments are fast and automated, environments are reproducible, costs are predictable, and your team can provision new services without a ticket to a platform engineer. Getting from where you are to that version is what I do.
I work directly with your engineering team — no account layer, no project managers — to assess the current platform, identify what actually needs to change versus what can wait, and implement the highest-impact fixes first. For early-stage teams, that usually means Terraform foundation and CI/CD automation. For later-stage teams scaling fast, it usually means GKE architecture, internal developer platform design, and cost governance.
What I design and implement for digital product teams on GCP:
What Your GCP Platform Looks Like When Infrastructure Stops Being the Bottleneck
For digital product teams, the measure of a good platform isn’t the technology — it’s what your engineering team can do that they couldn’t before:
Deployments are fast and routine — your team ships to production in minutes through an automated CI/CD pipeline, not a manual process that requires the founding engineer’s involvement
New engineers are productive from day one — environments are self-service and reproducible, so onboarding doesn’t require a week of infrastructure setup and tribal knowledge transfer
Every environment matches — Dev, Staging, and Production are provisioned from the same Terraform codebase, so bugs that only appear in Production become a thing of the past
GKE is an asset, not a burden — your team deploys to Kubernetes with confidence because the operational foundations are solid, not because one person knows all the workarounds
GCP costs are predictable — autoscaling keeps compute proportional to actual usage, and cost visibility lets you make informed decisions about where infrastructure spend is going
Enterprise customers can be answered confidently — when a prospective customer sends a security questionnaire, the answers are accurate and the evidence is readily available
When Digital Product Teams and Startups Typically Engage Me
I’m typically brought in at one of these moments — when the infrastructure that enabled early growth is starting to constrain it:
Pre-launch — building the GCP platform from scratch and wanting to make the right foundational decisions on Terraform, GKE, and CI/CD before engineering velocity becomes the priority
Post-launch scaling — the manual infrastructure from the launch sprint is now causing deployment pain, environment inconsistency, and rising GCP costs that need to be addressed before they get worse
First platform hire — bringing in a platform engineer or SRE and wanting an experienced architect to design the foundation they’ll build on, rather than inheriting undocumented infrastructure
Series A or B — investor due diligence or new enterprise customers exposing infrastructure gaps that need to be fixed for the next stage of growth
GKE adoption — moving from Cloud Run or VMs to Kubernetes and needing the architecture depth to do it right rather than adding complexity without operational benefit
Engineering team growth — multiple squads needing a standardised, self-service deployment platform so infrastructure doesn’t become a bottleneck as the team scales
Building a Digital Product on GCP? Let’s Talk About Your Platform.
Most digital product teams don’t need a large consulting engagement — they need an experienced architect who can look at the platform honestly, identify what actually needs to change, and implement it without disrupting the engineering team’s velocity. That’s how I work.
I start with a free 30-minute architecture review — a direct conversation about your current GCP setup, where the pain is, and what the right next steps look like. You work with me directly throughout, not a delivery team. If you’re building on GCP and want to talk through your platform, book a free architecture review here.
Let’s Talk
Based in Toronto (EST), working with engineering teams across Canada & USA
Tell me about your current platform and where you're trying to get to. I'll respond with thoughts, not a proposal.
