Google Cloud Engineering Services Canada
Hands-On GCP Platform Engineering for Canadian Businesses — Built Right, Delivered Fast
There’s a difference between a cloud strategy deck and a cloud platform that actually works in production.
Strategy is easy. Engineering is where most GCP projects fail — misconfigured IAM, Terraform that nobody on the team understands, GKE clusters that run fine in staging and fall apart under real load, CI/CD pipelines that ship broken code at 2am.
I’m Amit Malhotra, a Principal GCP Architect and Engineer based in Toronto. I work with Canadian engineering teams to design and build production-grade Google Cloud platforms — hands-on, from architecture through implementation, with Infrastructure as Code, security, and operational reliability built in from day one.
This is not advisory work. I write the Terraform. I design the GKE platform. I build the pipelines. I work directly inside your environment alongside your team.
What Canadian Engineering Teams Actually Need
Most Canadian businesses don’t have a cloud strategy problem. They have a cloud engineering problem.
The strategy is often clear enough — migrate to GCP, modernize the platform, automate infrastructure, improve security. What’s hard is the implementation: making the right engineering decisions at every step, building things that hold up under production load, and leaving your team with a platform they can actually operate and extend without bringing in a specialist every time something breaks.
That’s what I do.
I’ve delivered production GCP platforms for Tangerine Bank, Telus Health, Loblaws, and RBC — environments where the engineering has to be right because there’s no room for outages, security incidents, or compliance failures. I bring that same engineering rigour to every Canadian engagement, regardless of company size.
What Canadian Engineering Teams Struggle With
Terraform That Nobody Owns Someone wrote the initial Terraform months ago. It worked once. Now it’s a tangle of hardcoded values, no modules, no remote state management, and nobody wants to touch it because changing one thing breaks three others. Infrastructure that isn’t engineered properly becomes the thing that slows every other team down.
GKE Platforms That Work in Demo, Break in Production Kubernetes is unforgiving. Namespace strategy that wasn’t thought through. Node pools that can’t handle real traffic spikes. Missing resource limits that let one bad workload take down the cluster. No binary authorization. No pod security standards. GKE platforms built quickly accumulate engineering debt that compounds fast.
CI/CD Pipelines That Create Risk Instead of Reducing It Pipelines that don’t enforce environment promotion gates. Container images built without vulnerability scanning. Secrets passed as plain environment variables. Deployments with no rollback strategy. A CI/CD pipeline should make releases boring — predictable, safe, and fast. When it doesn’t, every release is a risk event.
Security Built After the Fact Service accounts with project-level owner permissions because it was easier at the time. Workloads using static keys that live in code repositories. No VPC Service Controls. No audit logging. Security that gets retrofitted after the platform is built costs 3x more to implement and leaves gaps that a properly engineered platform would never have had.
A Platform Your Team Can’t Operate Independently The worst outcome of any engineering engagement is a platform that only works because the person who built it is still around. Good cloud engineering leaves your team with something they understand, can debug, can extend, and can operate confidently — with documentation, runbooks, and architecture decisions that are explained, not just delivered.
What I Engineer on Google Cloud
Every engagement is scoped to what your team needs. I work across the full GCP engineering stack.
Infrastructure as Code — Terraform Architecture
Modular, version-controlled Terraform frameworks built for multi-environment deployments — Dev, Staging, Production — from a single codebase. Remote state management, workspace strategy, CI/CD integration for infrastructure pipelines, and module design your team can maintain and extend without specialist knowledge. No snowflake environments. No manual provisioning steps.
→ See Google Cloud Architecture & Modernization
GKE Platform Engineering
Production-grade GKE cluster design — node pool strategy, namespace architecture, workload identity per pod, resource quotas, pod security standards, binary authorization, network policies, and autoscaling configured correctly from day one. Multi-tenant cluster design for teams running multiple workloads on shared infrastructure. GKE foundations your team can build on with confidence.
Cloud Run & Serverless Platform Engineering
For stateless APIs and event-driven workloads that don’t need the overhead of Kubernetes — Cloud Run deployment architecture, IAM-based access controls, VPC connector configuration, traffic splitting for safe rollouts, and integration with Cloud Build and Artifact Registry. The right compute platform for the right workload.
CI/CD Pipeline Engineering
GitHub Actions, Cloud Build, or your existing toolchain — I design and implement delivery pipelines that are fast, reproducible, and secure. Environment promotion gates, automated testing integration, container image scanning with Artifact Analysis, secrets injection via Secret Manager, deployment validation, and rollback capability. Pipelines that make releases routine, not stressful.
→ See DevSecOps & Cloud Security
GCP Landing Zone & Platform Foundation
For Canadian organizations starting fresh on Google Cloud — a production-ready landing zone built correctly from the first commit. Folder and project structure, Shared VPC, IAM hierarchy, Organization Policies, centralized logging and monitoring, and Terraform-automated environment bootstrapping. The foundation that everything else builds on.
Platform Observability Engineering
Cloud Monitoring dashboards, log-based alerting, uptime checks, SLO configuration, and distributed tracing with Cloud Trace. Error reporting integration and incident response runbooks. Your team should know about production issues before your customers do — and know exactly what to do when they happen.
Canadian Context — Why It Matters
Engineering a GCP platform for a Canadian financial services company is not the same as engineering one for a US SaaS startup. Data residency requirements, PIPEDA compliance, OSFI B-10 guidelines for financial institutions, and what Canadian enterprise security teams require in a vendor audit — these are things I’ve worked with directly across multiple Canadian engagements.
When you’re building on GCP in Canada, having an engineer who understands that context removes a layer of friction that slows down every project where it’s missing.
I’m based in Toronto. I work across Canada — and I understand what Canadian engineering teams are actually dealing wit
Who I Work With in Canada
Platform and Infrastructure Teams at Canadian mid-market and enterprise companies who need hands-on GCP engineering capacity — for a specific build, a platform modernization, or an ongoing engineering partnership.
Engineering Leaders — VPs of Engineering, Platform Leads, Tech Leads — who need a senior GCP engineer embedded in their team for a defined period. Someone who can make the right engineering decisions, deliver production-quality work, and leave the team in a better position than they were before.
Canadian SaaS Companies scaling their GCP platform beyond what the founding team architected — dealing with the engineering debt that accumulates when you build fast and fix later.
Regulated Industries — financial services, healthcare, government — where GCP engineering has to meet compliance requirements from the start, not as an afterthought.
Built on the SCALE Framework
Every GCP engineering engagement follows the SCALE Framework — my structured approach to building platforms that remain secure, operable, and maintainable long after the initial build.
S — Security by Design: IAM, identity, and policy engineered into the platform foundation — not retrofitted.
C — Cloud-Native Architecture: Engineering patterns designed for GCP — not lifted from on-premises thinking.
A — Automation & Infrastructure as Code: Everything reproducible, version-controlled, and automated.
L — Lifecycle Operations: Platforms engineered to be operated — with monitoring, runbooks, and clear operational patterns.
E — Elastic Scalability & Efficiency: Engineered to scale without re-architecture, and cost-optimized from the start.
Let's Talk About What You're Building
If you’re a Canadian engineering team with a GCP platform that needs to be built, fixed, or modernized — I’d welcome a short conversation about what you’re working with and what good looks like on the other side.
Free 30-minute engineering review. No proposal. Direct technical conversation about your environment and what needs to happen.
📍 Based in Toronto, Ontario. Working with engineering teams across Canada. 📧 amit@buoyantcloudtech.com
Buoyant Cloud Inc. | Principal GCP Architect & Engineer | Toronto, Ontario, Canada Hands-on Google Cloud engineering for Canadian businesses
