GCP Platform Engineering for Digital Products & High-Growth Startups — Canada & USA

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.

PROBLEMS I SOLVE

WHAT I TYPICALLY SEE

The Infrastructure Problems That Start Slowing Fast Teams Down

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
Multiple environments that have diverged — Production, Staging, and Dev running different configurations, with bugs that only appear in Production because no environment exactly matches another

MY APPROACH

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:

Terraform IaC foundation — replacing all manual provisioning with version-controlled, reproducible infrastructure that your whole team can understand and contribute to, across every environment
GKE platform design — cluster architecture, node pool strategy, namespace structure, and workload deployment patterns that give your team a reliable Kubernetes foundation without the operational burden
Internal Developer Platform — a self-service deployment layer built on GKE and Cloud Run so engineers can provision environments and deploy services without depending on a single platform expert. Linked to your Platform Engineering service.
DevSecOps CI/CD pipelines — fast, automated delivery with security scanning, container image signing, and zero-manual-step deployments. See the DevSecOps & Cloud Security service for more detail.
GCP cost architecture — autoscaling node pools, Spot VM strategy, resource right-sizing, and cost allocation visibility so your GCP bill is proportional to your growth rather than ahead of it
Security foundations for enterprise readiness — IAM model cleanup, Workload Identity Federation, Secret Manager integration, and audit logging that satisfies enterprise customer security reviews without a major remediation project
Multi-environment standardisation — Dev, Staging, and Production provisioned from the same Terraform codebase so bugs stop hiding in environment differences. See the full GCP Architecture & Modernization service.

OUTCOMES

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
The platform scales with the company — the GCP architecture you have after working together handles your next growth phase without requiring another infrastructure overhaul

WHEN TO ENGAGE

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
Cost pressure — GCP spend growing faster than revenue and needing a proper autoscaling and cost governance strategy

LETS TALK

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

Speak Directly With Amit Malhotra

Email

amit@buoyantcloudtech.com

Operating From

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.

Speak directly with me — a Principal Cloud Architect — about your GCP architecture, security, platform engineering, or MLOps goals. I typically respond within one business day.

✓ Free 30-minute call ✓ No proposal, no pressure ✓ Responds within one business day

GCP Platform Engineering for Digital Products & High-Growth Startups — Canada & USA

WHAT I TYPICALLY SEE

Speak Directly With Amit Malhotra

Email

Operating From

Tell me about your current platform and where you're trying to get to. I'll respond with thoughts, not a proposal.

Get In Touch