Cloud Platform Engineering
for the AI-Native Era
Build cloud platforms your teams & your board can trust
When more of your revenue, risk, and resilience live in the cloud, how you engineer that platform becomes critical. When the foundation isn’t built right, it shows up as slower releases, AI initiatives that never make it past pilot, and a customer experience that feels the impact. That’s why, at TechBlocks, we take a product-based approach to Cloud Engineering. We design, build, and run secure, AI-ready cloud platforms that standardize how you deploy, observe, secure, and pay for everything that runs on them. Releases speed up, reliability improves, and cloud and AI spend become numbers you can tie directly to business outcomes.
Client outcomes we’ve delivered with Cloud Engineering
From scattered cloud to a governed product platform
Platform engineering, SRE, & FinOps working as one.
Most enterprises didn’t set out to design a cloud platform; they accumulated one. Environments get changed through consoles instead of code, tools and platforms pile up, observability is patchy, and hybrid or multi-cloud networking and identity remain hard to secure. Then AI arrives with GPU clusters, low-latency networking, and data gravity, while regulators raise the bar on resilience, audit trails, and controls.
The solution is an architecture-first, AI-native Cloud Engineering approach that turns that cloud sprawl into a governed product platform. We create a small number of opinionated “golden paths” so teams ship through standardized environments instead of one-off builds. Internal developer platforms hide cloud complexity behind self-service, while SRE and full-stack observability make reliability an engineered outcome. FinOps is built into the platform so every environment, workload, and AI initiative has clear ownership, unit costs, and guardrails. The result is one operating model across AWS, Azure, and GCP that lets you move faster without losing control of risk, resilience, or spend.
Client Success
Higher conversion across digital channels
Annual cost savings
E-commerce revenue growth
Powering Exponential Digital Commerce Growth for A Leading U.S. Retailer
Challenges
Our client, a leading U.S. retailer with 150+ brick-and-mortar locations, faced a critical inflection point during the pandemic. Consumers pivoted to digital-first shopping, yet the client’s legacy platform was rigid, costly, and unable to support the shift to a customer-first mindset. Their monolithic PHP-based architecture slowed feature launches, created escalating maintenance costs, and introduced security risks. Core initiatives like credit financing were difficult to implement. Manual processes, technical debt, and lack of agility made it impossible to keep pace with consumer expectations or omnichannel competitors. A scalable, secure, and future-ready platform that empowered innovation while reducing complexity was needed.
Solutions
TechBlocks partnered with the client to decompose their monolithic platform into a composable architecture and stand up an operating model built for customer-first delivery:
- Decomposed the monolithic system into a composable architecture built on modular services and robust APIs
- Mapped critical data flows, migrated legacy data, and rigorously tested components to ensure seamless integration and stability
- Improved agility and developer productivity by reducing technical debt and enabling faster rollout of new features, including expanded credit financing options
- Embedded security and governance into the platform design to mitigate risk and ensure compliance from day one
- Implemented a Center of Excellence (CoE) framework with Pods and Towers to drive cultural and operational change across teams
- Formed cross-functional Pods of product managers, developers, designers, and QA to deliver features quickly, while Towers ensured architectural consistency and customer experience alignment
Cloud Engineering Services
Cloud Platform & Landing Zone Design
We design secure, standardized landing zones and reference architectures for AWS, Azure, and GCP that unify identity, networking, logging, and security baselines across regions and clouds. Multi-region patterns, RTO/RPO targets, backup and recovery, and multi-cloud redundancy are built in, along with GPU-ready clusters and data platforms for AI workloads. The result is a resilient, compliant, AI-ready cloud foundation that scales predictably.
Infrastructure as Code & GitOps Transformation
We replace console clicks and tickets with fully automated Infrastructure as Code and GitOps, using reusable modules, pipelines, and policy checks to keep environments consistent. Drift detection, approvals, and testing are built into the workflow, so every change is versioned, reviewable, and auditable.
Internal Developer Platform (IDP) & Developer Experience
We build internal platforms that give developers self-service access to environments, data stores, queues, and AI services through simple, opinionated golden paths. Common workloads—web apps, APIs, data pipelines, and ML services—come with security, observability, and cost guardrails baked in, so teams move fast without breaking the platform and you get consistent, governed delivery.
Cloud Observability & SRE
We unify logs, metrics, and traces into a single view of your stack, tied to clear SLIs, SLOs, and error budgets for your critical services. Runbooks, on-call practices, game days, and automated remediation turn incident response into a disciplined SRE function and keep your resilience and continuity targets real, so reliability becomes engineered and measurable.
Cloud Security & Compliance by Design
We harden your platform with guardrails for encryption, segmentation, secrets, and key management, enforced as code across accounts and environments. Identity, access, and data residency are standardized, while policy-as-code validates every change against your security and regulatory rules before it goes live.
FinOps-Enabled Cloud Platforms
We embed FinOps into your cloud platform so cost is visible, explainable, and actionable in near real time. Tagging, allocation, showback/chargeback, anomaly detection, and automated optimization give finance, product, and engineering a shared view of unit economics across AI, SaaS, PaaS, and core infrastructure.
Expertise you can trust
Why clients partner with TechBlocks for Cloud Engineering
We don’t just move workloads to the cloud; we engineer the platform your business runs on. Our cloud teams align platform engineering, SRE, security, and FinOps into one operating model, with resilience, business continuity, and AI readiness baked in. Success is measured in faster releases, lower incident impact, clear unit costs, a stronger compliance posture, and the ability to operationalize AI safely at scale.
“TechBlocks has proven to be a trusted advisor and reliable engineering partner on our projects. I was extremely impressed with their service and commitment to meeting our cloud requirements.”
Director, Web Services – Leading global real estate brokerage
Ready to start the conversation?
Share your most pressing challenges and priorities with our team, and let’s explore what’s possible.
