Accepting new projects from Q1 2026

Dedicated teams for
Cloud, DevOps & AI.

Da Nang engineers, led from Australia. A cloud, DevOps, or AI team that works only on your systems — one timezone, one monthly invoice.

Get Your Custom Team Plan View Case Studies
Cloud Engineering • DevOps • AI Engineering
Da Nang --:--

One Team.
One Timezone. One Monthly Invoice.

Dedicated DevOps, cloud engineering, and AI teams that join the group you already have. Same backlog, same cloud, same on-call. Hired in Da Nang, led from Australia.

Full-time engineers

Cloud, DevOps, and AI engineers, hired into our Da Nang office and assigned only to you. Your repos, your cloud accounts, your on-call.

Seamless technical collaboration

Australian leads sit in the architecture and delivery conversations, so the Da Nang team is not guessing at your cloud or your release process.

Stable long-term staffing

The same people stay. That is how a cloud account, a pipeline, or an AI system keeps its history instead of resetting every contract.

Predictable monthly costs

One monthly invoice for salaries, office, equipment, and management. No recruiting fees stacked on the team.

Australian Leadership + Vietnam Delivery

Senior engineers in Australia set the bar for cloud, DevOps, and AI work. The people who build and run it sit together in Da Nang.

5+ Years Active
50+ Engineers
24/7 Operations
2 Global Hubs
01

Cloud Engineering

Teams that design and run AWS, GCP, and Azure — landing zones, Terraform, Kubernetes — and stay on the account after go-live.

02

DevOps

Teams that own CI/CD, GitOps, and the path to production, so your leads stop coordinating a rotation of contractors.

03

AI Engineering

Teams that take models into production: MLOps, evaluation, and private hosting, on the cloud the same group already runs.

DevOps, cloud, and AI teams

Cloud Engineering

AWS, GCP, and Azure. Landing zones, Kubernetes, and the accounts your product ships on.

DevOps

CI/CD, GitOps, and the release path. One team owns it, end to end.

AI Engineering

MLOps, RAG, and private model hosting. Production systems, not a demo.

SRE & 24/7

On-call rotations and incident response when the cloud team needs cover around the clock.

Platform Engineering

Internal platforms and golden paths, so product engineers are not waiting on infra tickets.

Staffing cloud, DevOps, and AI one freelancer at a time does not hold.

The Freelancer Model

A different contractor for the pipeline, the cloud account, and the model

  • Hours that barely overlap
  • Churn before anyone learns the stack
  • Security habits that do not match
  • No shared release rhythm
  • Seniors spend the week coordinating

Hidden costs

Time & Quality

One Dedicated Team

Cloud, DevOps, and AI engineers in one office, on your systems

  • One office, overlapping your hours
  • One way of building and releasing
  • Shared access and one security bar
  • A cadence you can plan around
  • Seniors stay on the system
Get Cost Estimate →

Real systems. Real delivery.

Three production engagements: DevOps coverage, an AI pipeline, and a cloud migration.

Ride-Sharing App
DevOps

East Asian Ride-Sharing App

A dedicated DevOps and SRE rotation for an Indonesian ride-sharing platform. Average incident resolution fell from 3 hours to 48 minutes.

MLOps Pipeline
AI Engineering

MLOps Pipeline for a Korean Startup

An AI team built the path from labeling to release on AWS. Operational efficiency rose about 75%, and infrastructure cost fell about 40%.

Cloud Migration
Cloud Engineering

Azure to AWS Migration

Cloud engineering for an audio platform: Azure onto AWS in a month, on containers and multi-AZ, with about 24% lower run cost.

See More Case Studies →

Technology Stack

AWS Google Cloud Azure Kubernetes Terraform Node.js OpenAI Anthropic Google Meta NVIDIA SAP ServiceNow AWS Google Cloud Azure Kubernetes Terraform Node.js OpenAI Anthropic Google Meta NVIDIA SAP ServiceNow

Cloud, DevOps, and AI only count in production.
We staff the teams that keep them there.

Questions

Who are these teams for?

Companies that need a dedicated DevOps, cloud engineering, or AI team, not a bench of freelancers. Engineers are full-time in Da Nang, led from Australia, and work only on your backlog.

What does a cloud or DevOps team own?

Cloud teams run AWS, GCP, or Azure: accounts, Terraform, and Kubernetes. DevOps teams own CI/CD, GitOps, and the release path. SRE rotations are there when you need on-call cover.

Can you staff an AI engineering team?

Yes. AI work here means production systems: MLOps, RAG, evaluation, and private model hosting on your cloud. Same engagement as the cloud and DevOps teams. We usually reply within 24 hours.

Need a cloud, DevOps,
or AI team?

Tell us the stack. We'll send a team shape and a cost estimate.

Get Your Custom Team Plan →