Backend Development Services for the Servers and APIs Behind Your Product
Choose a runtime, a framework on top of it, or an architecture that spans several, depending on what you already run and who will operate it. Nineteen services sit below, and each one hands over the repository and the deployment in accounts you control.
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Runtimes
The language your services run on, which shapes the libraries available and who can maintain them.
- Ongoing retainer with weekly sprint demos
Node.js Development
Node.js servers, APIs and real-time systems, with custom server-side engineering and microservices where the design calls for them.
Python Development
Python backends and data platforms, including AI-powered applications, built with Django, FastAPI and machine learning frameworks.
PHP Development
PHP 8.3 work on Laravel and Symfony for web apps, SaaS platforms, CMS builds and REST APIs.
Java Development
Secure Java services covering backends, APIs and enterprise software, custom built around your business requirements.
Golang Development
Go backends with a secure architecture, fast execution and clean, readable code written for your use case.
Rust Development
Rust for secure, high-performance backends, systems software and APIs where memory safety really matters.
Frameworks
Opinionated frameworks that settle structure, routing and data access so your team writes less glue code.
- Ongoing retainer with weekly sprint demos
Laravel Development
Custom Laravel applications with API integrations, security and performance in view, sized for enterprise systems.
Django Development
Django apps with a secure backend architecture, clean code and API integrations into your other systems.
Flask Development
Lightweight Flask web apps and microservices in Python, with API integrations and the full source handed over.
Spring Boot
Enterprise Java applications on Spring Boot, engineered for performance and security with a microservices architecture.
Express.js
Express.js APIs, real-time applications and backend systems, built securely and deployed without long delays.
FastAPI
Fast Python APIs, microservices and backend systems on FastAPI, with a secure architecture and quick deployment.
Ruby on Rails
Ruby on Rails web apps with a secure architecture, clean code and a backend that responds quickly.
Symfony
Symfony applications with a scalable backend, secure design, API integration and clean PHP code.
CodeIgniter
CodeIgniter apps built securely, with a backend that scales, API integration and clean, custom code.
Architecture
Patterns that span languages: how the frontend, data and services connect, and where they split.
- Fixed-scope build, figure agreed first
- Ongoing retainer with weekly sprint demos
Full Stack Development
Frontend, backend, database, API and cloud-ready work from one team, for secure digital products.
REST API Development
Secure REST APIs with a scalable backend behind them, third-party integrations and clear documentation.
GraphQL APIs
A fixed-scope build of GraphQL APIs with careful schema design, secure architecture and integration with your services.
Microservices
Modular microservice apps with secure APIs, designed from the start to run on cloud infrastructure.
Need Backend & APIs work beyond these 19 pages? Name your stack on a call.
Scope a custom build →Choosing a Stack and an Architecture
Backend choices are expensive to reverse, so weigh them against your team and your traffic pattern before the first sprint.
Start from What Your Team Can Read
The safest runtime is usually the one your developers already know. Node.js and Express suit JavaScript teams, Django, Flask and FastAPI suit Python shops, Laravel and Symfony suit PHP teams, and Spring Boot suits Java. Go and Rust earn their place where raw speed or memory safety is the requirement.
Monolith First, Services When It Hurts
A single well-structured application is simpler to test, deploy and debug. Split into microservices when separate parts need to scale or release independently, or when several teams keep colliding in one codebase. Splitting earlier mostly adds network calls, failure modes and operational work.
REST or GraphQL for the API
REST is the usual default for public and partner APIs because caching and tooling stay simple. GraphQL helps when many clients, such as web, iOS and Android, need different slices of the same data and you want to stop writing a fresh endpoint for every screen.
Full Stack When One Team Owns the Feature
If the bottleneck is handoffs between frontend and backend developers, a full-stack engagement puts both halves of a feature with the same people. It fits early products well, while larger systems tend to benefit from specialists assigned to each layer.
Working Terms for Backend Engagements
Grouped from the language up. Most run as monthly retainers with weekly demos, while GraphQL API work is scoped as a fixed build.
Included on every engagement
- Retainers are reviewed in weekly sprint demos against an agreed backlog, need two weeks notice to cancel and carry no minimum term.
- Custom builds run 2 to 8 weeks; larger systems are scoped and quoted in writing before the first commit.
- Code, schema and deployment land in cloud accounts you own; no file is encrypted and nothing phones home for a license check.
- On builds, platform guidance (60 days), priority bug fixes (6 months) and product evolution (12 months) run concurrently.
- Third-party API fees and licenses stay on your account, and no revenue share applies to anything the system earns.
Questions About Backend & APIs
What timeline should we expect for backend or API work?
Custom backend builds run 2 to 8 weeks, depending on the number of integrations, the data model and the environments involved. A retainer has no fixed end: it moves through an agreed backlog with a demo each week. Systems larger than a custom build go through a written scope and quote first, so the plan is visible before you commit.
Where is the price for a Node.js or Laravel engagement?
On the Node.js or Laravel page, and the same holds for every other service in this list. The number on each page is the definitive one, which is why this overview leaves the figures out. If you need several pieces at once, such as a Django API plus a GraphQL layer, a free written scope with a single figure is the quickest way to see the total.
Should we start with a monolith or microservices?
For most new products, start with a modular monolith: one deployable application with clear internal boundaries. It is cheaper to run and far easier to debug. Move a module out into its own service once it needs independent scaling, a different release rhythm or a separate team. Starting with microservices before those pressures exist usually means paying for complexity nobody uses yet.
Who owns the servers and the code when the work ends?
You do, from the first deployment. The backend runs on infrastructure you own, and at handover you receive the complete source code, schema and deployment configuration in readable, unencrypted form with no license check-ins. Hosting bills, domains and third-party API costs stay with you throughout, so nothing has to be transferred or renegotiated when the engagement closes.
Can we bring in a backend developer instead of a project team?
Yes, through the Teams and Consulting practice. The developer is interviewed by you before day one and works under your direction; if it is not working, you can have them replaced, and the employment sits with Miracuves. Dedicated teams usually start one to two weeks out. Choose this when you already have technical leadership and need capacity, and a retainer or build when you want us to own delivery.
Describe the System You Need Behind the App
Tell us the traffic, data and integrations involved, and our first reply lands in under 2 hours on any Monday to Saturday between 10:00 and 19:00 IST.
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