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Mechanic ComputerJakarta, IndonesiaEngineering systems that last

Technology partner for serious work

Build once.
Operate well.

AI systems, cloud infrastructure, backend platforms, and delivery operations designed to stay clear after launch.

CONNECTED DELIVERY
MC
DISCOVERBUILDOPERATE

One team across architecture, implementation, release, and operation.

Mechanic Computer is an engineering partner for teams that need technology to become dependable business infrastructure—not another fragile experiment.

Capabilities

Four capabilities.
One accountable team.

About Mechanic Computer

Engineering clarity
for complex work.

We turn technical complexity into systems that teams can operate, improve, and own. Architecture, delivery, and operations stay connected from the first decision through handover.

01 / SYSTEM THINKINGArchitecture before
implementation.

Every engagement starts by making dependencies, ownership, and operating risk visible.

02 / DELIVERY DISCIPLINEBuild with a path
to operation.

Clear handover, observability, and maintenance are part of delivery—not an afterthought.

How we work

Make complexity
operable.

01

Understand

Map constraints, dependencies, and the real operating need.

02

Build

Ship systems with deliberate architecture and delivery controls.

03

Operate

Hand over clear ownership, visibility, and a path for improvement.

Engagement models

Work at the pace
your system needs.

01

Project-based

Focused discovery, build, migration, or system upgrade with a defined outcome and handover.

02

Retainer

Ongoing technical improvement, advisory, and operational support with a predictable working rhythm.

03

Dedicated team

A focused engineering unit integrated with your product and operations team for sustained delivery.

Technology ecosystem

Tools selected
to do their job.

Production technology across product, intelligence, cloud, data, delivery, and reliability.

38 production-grade tools

Application engineering09

Next.js
React
TypeScript
JavaScript
Node.js
NestJS
Python
Go
GraphQL

AI & automation06

AI Systems
Python
Redis
Elasticsearch
Kafka
RabbitMQ

Cloud & edge06

AWS
Google Cloud
Azure
Cloudflare
NGINX
Linux

Data platforms06

PostgreSQL
MySQL
MongoDB
Redis
Prisma
Elasticsearch

Delivery & infrastructure06

Docker
Kubernetes
Terraform
GitHub Actions
Git
NGINX

Observability & reliability05

Prometheus
Grafana
Sentry
Elasticsearch
Kubernetes

FAQ

Clear before
we begin.

AI workflows, cloud platforms, internal tools, backend APIs, operational infrastructure, and the systems around them.

Start a project

Bring the hard part
to the table.

Tell us what is changing, what is stuck, or what must run better.