Leading Python Backend Development PartnerDevelopment Partner
We build production-grade Python backends for SaaS, fintech, and healthcare. 8-12 week MVPs with fixed pricing and senior engineers only.
IRPR is a leading Python backend development partner. We use Django, FastAPI, Flask, and PostgreSQL to build APIs, microservices, and data pipelines. Our teams have shipped 200+ products across 50 countries.
Every project starts with a Roadmap phase (week 2) where we define scope and fixed price. Typical MVPs run 8-12 weeks with budgets from $80K to $250K. We handle compliance like HIPAA, PCI-DSS, and SOC 2.
We work with CTOs who need to ship a SaaS backend in 10 weeks. We work with founders who need a Python MVP for investor demos. We work with engineering VPs who need to scale their backend architecture without hiring.
Types of software we ship.
Python API Backend
REST or GraphQL APIs built with FastAPI or Django REST Framework. Integrated with Stripe, Auth0, and PostgreSQL.
Python Microservices
Event-driven microservices using Celery, Redis, and RabbitMQ. Deployed on AWS ECS with Docker.
Python Data Pipeline
ETL pipelines with Apache Airflow, Pandas, and Snowflake. Handles millions of records per day.
Python SaaS Backend
Multi-tenant SaaS backends with Django, PostgreSQL, and Redis. Includes billing, auth, and admin panels.
Python Real-Time Backend
WebSocket and real-time backends using FastAPI, Socket.IO, and Redis Pub/Sub. Sub-50ms latency.
Python AI Backend
Backend for AI/ML models using FastAPI, TensorFlow, and PyTorch. Handles model inference and training workflows.
Python Ecommerce Backend
Ecommerce backends with Django, Stripe, and Shopify integration. Supports PCI-DSS compliance.
Python Backend Migration
Migrate legacy PHP, Ruby, or Node.js backends to Python. Cut server costs by 40% with Django and FastAPI.
We build for every business type.
SaaS companies
Fintech firms
Healthcare organizations
Ecommerce brands
Data-driven companies
Why choose a leading Python backend development partner
Most backend projects fail because of scope creep, unclear requirements, or junior developers.
IRPR is not a typical dev shop. We assign senior engineers with 10+ years of Python experience. Every project goes through a structured Roadmap phase where we define the architecture, data model, and API contracts before a single line of code is written. This eliminates rework and keeps timelines predictable.
We have shipped Python backends for fintech platforms handling $50M+ in monthly transactions. We have built HIPAA-compliant backends for telehealth companies processing 10,000+ patient records per day. Our clients get a production-ready system with CI/CD, monitoring, and documentation included.
How IRPR differs from other Python backend agencies
The difference is in the process, the people, and the pricing.
Generic dev shops assign junior developers who learn on your dime. They bill by the hour and add features you never asked for. You end up with a messy codebase and a bill 3x over budget.
IRPR assigns a senior engineer as your lead architect. We write a detailed specification in the Roadmap phase. You get a fixed price and a fixed timeline. We use Django, FastAPI, and PostgreSQL to build backends that scale to 1 million users without a rewrite.
- Junior developers with 2 years of experience
- Hourly billing with no cap
- No written specification before coding
- No CI/CD or monitoring setup
- Code ownership unclear
- Scope creep every sprint
- Senior engineers with 10+ years of Python
- Fixed price from the Roadmap phase
- Detailed spec with data model and API contracts
- CI/CD pipeline on GitHub Actions, Sentry error tracking
- Full code ownership transferred to you
- Scope locked after Roadmap phase
Our Python backend development process
We follow a 4-phase process that guarantees delivery.
Every engagement starts with a 2-week Roadmap phase. We interview your stakeholders, review your existing systems, and produce a detailed specification. This includes the data model, API endpoints, authentication flow, and deployment architecture.
After you approve the Roadmap, we build the backend in 6-10 weeks. We deploy to AWS or GCP with Docker, Kubernetes, and a CI/CD pipeline. You get a production-ready system with monitoring, logging, and automated tests.
What ships with every Python backend project
You get more than just code.
Every project includes a fully documented backend with API reference, deployment guide, and architecture diagram. We set up monitoring with Datadog or New Relic, error tracking with Sentry, and logging with ELK stack.
- Source code in your GitHub repo
- CI/CD pipeline on GitHub Actions
- Sentry error tracking
- Datadog or New Relic monitoring
- PostgreSQL database with migrations
- Docker and Docker Compose files
- API documentation with Swagger or ReDoc
- Deployment guide for AWS or GCP
- Architecture diagram (draw.io)
- 30 days of post-launch support
What we ship in this practice.
SaaS subscription backend
Built a multi-tenant Django backend with Stripe billing and user management. Handles 50,000 active users with sub-100ms API response times. Tech stack: Django, PostgreSQL, Redis, Stripe, AWS ECS.
Fintech payment processing backend
Developed a FastAPI microservices architecture for a payment processor handling $50M in monthly transactions. Achieved PCI-DSS compliance and 99.99% uptime. Tech stack: FastAPI, PostgreSQL, RabbitMQ, AWS Lambda.
Healthcare patient data backend
Created a HIPAA-compliant Django backend for a telehealth platform. Processes 10,000 patient records per day with encrypted data storage. Tech stack: Django, PostgreSQL, AWS KMS, Celery.
Ecommerce order management backend
Built a real-time order management system with Django and WebSockets. Reduced order processing time from 5 minutes to 30 seconds. Tech stack: Django, PostgreSQL, Redis, Stripe, Shopify API.
Real-time analytics backend
Developed a FastAPI backend with WebSocket streaming for a real-time analytics dashboard. Handles 1 million events per day with sub-50ms latency. Tech stack: FastAPI, PostgreSQL, Redis Pub/Sub, Docker.
Data pipeline for logistics
Built an Apache Airflow data pipeline processing 10 million records per day for a logistics company. Reduced data processing time from 8 hours to 45 minutes. Tech stack: Python, Airflow, Snowflake, AWS S3.
Why teams hire us.
Fixed price, not hourly
Every project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges. Our average project runs $80K-$250K.
Senior engineers only
We do not hire juniors. Every engineer has 10+ years of Python experience and has shipped at least 5 production backends. Our lead architect reviews every pull request.
8-12 week MVPs
We ship production-ready backends in 8-12 weeks. Our process eliminates rework by defining the architecture before coding. 98% of our projects deliver on time.
Full code ownership
You own the source code, the IP, and the deployment. We transfer everything to your GitHub repo at the end of the project. No licensing fees, no vendor lock-in.
Compliance built in
We build HIPAA, PCI-DSS, and SOC 2 compliant backends. Our teams have experience with healthcare, fintech, and enterprise security requirements.
Post-launch support included
Every project includes 30 days of post-launch support. We monitor the system, fix bugs, and help your team take over. Our clients report a 40% reduction in production issues.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.
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