Track B · Foundational Engineering

Cloud, MLOps & QA Engineering

AWS Bedrock, Azure OpenAI, and GCP Vertex integrations—plus Docker/Kubernetes delivery and automated regression testing.

Overview

Cloud that supports how you ship models and apps

We help teams move workloads to the cloud, wire foundation-model APIs, and design infrastructure that matches how you release. The goal is dependable operations—for both conventional apps and AI inference paths.

Engagements may include migration, Docker/Kubernetes packaging, CI/CD, model-endpoint routing, and automated regression testing around the features you ship.

Good fit when you need

  • Migrating applications from on-prem or legacy hosting
  • Connecting multiple systems through reliable integrations
  • Improving deployment consistency with CI/CD
Capabilities

Cloud, MLOps & QA Capabilities

Migration, model endpoints, containers, and test automation across major clouds.

Migration planning

Assess workloads and plan cutovers with risk and rollback in mind.

Cloud AI endpoints

Integrate Azure OpenAI, AWS Bedrock, or Vertex AI behind your own APIs and access rules.

System integration

APIs and connectors between cloud apps, data stores, and partners.

CI/CD pipelines

Automated build and deploy flows for more predictable releases.

Secure configuration

Access patterns and baseline hardening appropriate to your stack.

Containers & QA

Docker/Kubernetes-friendly packaging plus automated regression around critical paths.

Benefits

Why teams choose this path

Practical outcomes—not buzzwords.

  • Clearer deployment paths and fewer manual release steps
  • Scalable infrastructure aligned to application demand
  • Better connectivity between tools and environments
  • Documentation that helps your team operate day to day
Process

How We Deliver

A structured path from discovery to support.

01

Assess

Review current systems, dependencies, and goals.

02

Design

Propose target architecture and migration phases.

03

Implement

Stand up environments, pipelines, and integrations.

04

Migrate

Move workloads carefully with validation checkpoints.

05

Stabilize

Monitor, tune, and hand over operating guidance.

Technologies

Tools We Work With

Stacks we use where they fit the problem—selected for maintainability and delivery clarity.

Cloud platforms

AWSAWS BedrockAzureAzure OpenAIGCPVertex AI

Application layer

Node.jsPHPCodeIgniter 4REST APIs

Delivery

CI/CDDocker-friendly workflowsQA Automation
FAQ

Common Questions

We work with AWS, Azure, and GCP. Choice depends on your existing footprint, compliance needs, and team familiarity.

Yes. Hybrid integration is a common part of migration and modernization work.

Account ownership typically stays with you. We help design, implement, and document the environments.

We aim for sensible resource sizing and can discuss cost visibility practices, but we don’t invent savings guarantees.

Planning a cloud move or integration?

Share your current setup—we’ll outline a practical next step.

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