Google Cloud Engineering Services USA
Hands-On GCP Platform Engineering for US Businesses — Built for Production, Delivered by a Principal Architect
US engineering teams don’t struggle to find GCP help. They struggle to find GCP help that’s actually senior, actually hands-on, and actually accountable for what gets built.
Large consulting firms send juniors. Freelance platforms send generalists. Offshore teams send whoever is available. The result is GCP infrastructure that looks functional in a demo and falls apart under real production load — Terraform nobody can maintain, GKE clusters that weren’t designed for the workloads running on them, CI/CD pipelines that create risk instead of reducing it.
I’m Amit Malhotra, a Principal GCP Architect and Engineer. I work directly with US engineering teams to build production-grade Google Cloud platforms — hands-on, from architecture through implementation. I write the Terraform. I engineer the GKE platform. I build the pipelines. I work inside your environment alongside your team and I’m accountable for what gets delivered.
20+ years in IT. 6+ years hands-on with GCP, Terraform, GKE, and DevSecOps. Production platforms delivered for regulated enterprises and high-growth technology companies across North America.
The GCP Engineering Problems US Teams Actually Face
AWS-to-GCP Migration That Stalls Many US companies migrate to GCP expecting a straightforward lift-and-shift and discover that GCP’s architecture is fundamentally different from AWS. IAM works differently. VPC architecture works differently. The services that replace your AWS stack need careful evaluation and correct configuration. Migrations that weren’t engineered properly stall at the implementation stage — security gaps surface, networking doesn’t behave as expected, and costs run higher than the business case projected. I’ve navigated AWS-to-GCP migrations and know exactly where these projects break down and how to prevent it.
Terraform That’s Become a Liability What started as a few Terraform files to provision the initial infrastructure has grown into an unmaintainable tangle. Hardcoded values everywhere. No module structure. State files nobody fully understands. Environments that drift because manual changes bypassed the IaC workflow. Every change is a risk event. Infrastructure that isn’t engineered properly becomes the bottleneck that slows every other team down — and in a US engineering org with velocity expectations, that cost is significant.
GKE Platforms That Can’t Handle US-Scale Traffic A GKE cluster designed for a few hundred RPS doesn’t automatically scale to tens of thousands. Node pool strategy that wasn’t designed for traffic patterns. Missing cluster autoscaler configuration. Resource limits that weren’t set correctly. HPA thresholds that trigger too late. US-scale traffic exposes every GKE engineering shortcut taken during the initial build — and the cost of fixing it under load is orders of magnitude higher than building it correctly the first time.
CI/CD Pipelines That Are Slowing Engineering Velocity Pipelines that take 45 minutes to run. Deployment processes with manual steps that create bottlenecks. No environment promotion gates, so changes that break staging make it to production. Security scanning that was never integrated. US engineering teams with aggressive release cadences can’t afford a deployment process that’s slower than the team building on top of it.
Security Engineering That Wasn’t Part of the Original Build Service accounts with owner-level permissions. Static keys in GitHub repos. No VPC Service Controls. Audit logging that wasn’t enabled from the start. Retrofitting security onto a GCP platform that wasn’t engineered with it in mind is expensive — both in engineering time and in the gaps that remain after the retrofit. For US companies handling enterprise customer data or approaching compliance certification, this is the difference between a clean audit and a failed one.
What I Engineer on Google Cloud for US Clients
Infrastructure as Code — Terraform at US Scale
Modular, version-controlled Terraform frameworks designed for large-scale US engineering organizations — multi-team workflows, remote state management, workspace strategy, CI/CD integration for infrastructure pipelines, and module design that scales as the organization grows. Infrastructure that’s reproducible, peer-reviewable, and safe to change. → See Google Cloud Architecture & Modernization
GKE Platform Engineering
Production-grade GKE cluster design built for US-scale workloads — node pool strategy, multi-tenant namespace architecture, workload identity per pod, resource quotas, pod security standards, binary authorization, network policies, and autoscaling configured for real traffic patterns. GKE foundations designed to handle growth without requiring a rebuild.
AWS-to-GCP Migration Engineering
Hands-on migration engineering for US companies moving from AWS to Google Cloud — workload assessment, GCP service mapping, network architecture translation, IAM model redesign, data migration strategy, and cutover planning that minimizes downtime and eliminates post-migration surprises.
CI/CD Pipeline Engineering
GitHub Actions, Cloud Build, or your existing toolchain — delivery pipelines engineered for US engineering team velocity. Fast, parallel builds. Environment promotion gates. Container image scanning. Secrets injection via Secret Manager. Deployment validation and rollback capability. Pipelines that make high-frequency releases safe and routine. → See DevSecOps & Cloud Security
Cloud Run & Serverless Engineering
For stateless APIs, event-driven workloads, and microservices 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 Eventarc integration for event-driven workflows. The right compute platform for the right workload.
GCP Landing Zone Engineering
For US organizations starting on Google Cloud or rebuilding a fragmented GCP environment — a production-ready landing zone built correctly from the first resource. Folder and project structure, Shared VPC, IAM hierarchy, Organization Policies, centralized logging, and Terraform-automated environment bootstrapping.
Platform Observability Engineering
Cloud Monitoring dashboards, log-based alerting, uptime checks, SLO configuration, distributed tracing, and error reporting. Incident response runbooks your on-call team can actually follow. For US engineering organizations where production incidents have real business cost. → See SRE & Observability on GCP
Who I Work With in the USA
Platform and Infrastructure Teams at US mid-market and enterprise companies that need hands-on senior GCP engineering capacity — for a specific build, a migration, a platform modernization, or an ongoing engineering partnership.
Engineering Leaders — VPs of Engineering, Platform Leads, Staff Engineers — who need a senior GCP engineer embedded in their team. Someone who makes the right engineering decisions, delivers production-quality work, and leaves the team in a better position than before.
US SaaS and Technology Companies scaling their GCP platform beyond what the founding team built — dealing with the engineering debt that accumulates when you ship fast and fix later.
AWS-Heavy Organizations Moving to GCP — where the migration needs to be engineered correctly, not just re-platformed, to realize the cost and capability benefits that drove the decision.
US Companies Approaching SOC 2, HIPAA, or PCI-DSS — where GCP engineering has to meet compliance requirements from the start, not as a retrofit after the audit findings come in.
Why US Engineering Teams Work With Me
You get a Principal Architect, not a delivery team. Most GCP engineering engagements at US firms work like this: a senior architect scopes the work, then hands it to mid-level or junior engineers to execute. I’m the person who scopes it, engineers it, and delivers it — from the first Terraform module to the final production deployment. No hand-offs, no translation layer between what was designed and what gets built.
I come from both sides — application and infrastructure. When a GKE deployment fails in production, the root cause is often not in the Kubernetes config — it’s in how the application handles startup, how secrets are loaded at runtime, or how the container was built. Most infrastructure engineers miss this. I don’t. 20+ years across application development, platform engineering, and DevSecOps means I debug the full stack, not just the layer I’m responsible for.
GCP exclusively — not a generalist wearing a GCP hat. Not AWS. Not Azure. Not “cloud agnostic.” Google Cloud, exclusively. That depth matters when you need someone who knows exactly how GCP’s networking, IAM, and managed services work together at the engineering level — not someone applying generic cloud patterns to a platform they know partially.
Flexible engagement model. Project-based builds, platform modernization engagements, or ongoing engineering partnerships — scoped to what you actually need, not around a large firm’s minimum billing requirements.
Built on the SCALE Framework
Every GCP engineering engagement follows the SCALE Framework — a 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 — not retrofitted.
C — Cloud-Native Architecture: Engineering patterns designed for GCP, not ported from AWS thinking.
A — Automation & Infrastructure as Code: Everything reproducible, version-controlled, and automated.
L — Lifecycle Operations: Platforms built to be operated — with monitoring, runbooks, and clear operational patterns.
E — Elastic Scalability & Efficiency: Engineered to scale without re-architecture, cost-optimized from the start.
Let's Talk About What You're Building
If you’re a US engineering team with a GCP platform that needs to be built, migrated, fixed, or modernized — a 30-minute conversation will tell us both what good looks like on the other side.
Free engineering review. No proposal. Direct technical conversation.
📍 Remote across the USA — EST timezone. 📧 amit@buoyantcloudtech.com
Buoyant Cloud Inc. | Principal GCP Architect & Engineer Hands-on Google Cloud engineering for US businesses
