Python backend development developersbackend development
We build production Python backends for web apps, APIs, and SaaS platforms. Ship in 8-12 weeks with fixed pricing and full code ownership.
IRPR builds Python backends for web apps, APIs, and SaaS platforms. We use Django for complex data models, FastAPI for high-performance APIs, and Flask for lightweight services. Our team of senior engineers ships production code that handles thousands of requests per second.
Every project starts with a 2-week Roadmap phase where we define the architecture, data model, and API contracts. Fixed pricing means you know the cost upfront. Typical budgets range from $80K to $250K for a complete backend. We deliver in 8-12 weeks with full code ownership.
CTOs hire us to build scalable backends without hiring a full in-house team. Product managers use us to ship their MVP on time and under budget. Startup founders come to us when they need a production-grade backend fast. Enterprise teams engage us for specialized Python work like data pipelines or microservices.
Types of software we ship.
REST API development
Build RESTful APIs with Django REST Framework or FastAPI. Includes OpenAPI docs, rate limiting, and authentication.
GraphQL backend
Implement GraphQL APIs using Strawberry or Graphene-Django. Supports subscriptions, batching, and caching.
Microservices architecture
Design and build microservices with FastAPI and RabbitMQ or Kafka. Includes containerization and orchestration.
SaaS backend platform
Build multi-tenant SaaS backends with Django or FastAPI. Features include user management, billing via Stripe, and analytics.
Data processing pipeline
Develop data pipelines with Python, Celery, and Redis. Handles ETL, batch processing, and real-time streaming.
WebSocket server
Build real-time WebSocket servers using FastAPI or Django Channels. Supports chat, notifications, and live updates.
Admin dashboard backend
Create custom admin interfaces with Django Admin or React-based dashboards. Includes role-based access and audit logs.
Third-party API integration
Integrate with Stripe, Salesforce, HubSpot, or Slack. Includes webhook handling, error retries, and monitoring.
We build for every business type.
SaaS and web apps
Healthcare and fintech
Ecommerce and retail
Real estate and property
Logistics and manufacturing
Why hire Python backend development developers from IRPR
Our team has shipped 200+ Python backends across 50 countries. Here is what we deliver.
Every Python backend we build starts with a clear architecture document. We define the data model, API endpoints, and infrastructure before writing a single line of code. This Roadmap phase takes 2 weeks and costs a fixed fee.
During the Build phase, we ship code in 2-week sprints. You see working APIs and database schemas every 14 days. We deploy to staging environments on AWS or GCP so you can test integrations early. Production deployment happens at week 10-12.
How IRPR compares to generic development shops
Most agencies deliver incomplete backends with no tests or documentation. IRPR ships production-ready systems.
Generic shops often use a single developer who builds everything. If that developer leaves, you are stuck. IRPR assigns a team of 3-5 senior engineers who cross-train each other. No bus factor.
We also write automated tests for every API endpoint. Our backends have 90%+ test coverage. Generic shops skip testing to save time. We do not.
- No architecture document before coding
- Single developer on the project
- No automated tests
- No CI/CD pipeline
- Hourly billing with no cap
- No monitoring or alerting
- 2-week Roadmap with full architecture
- Team of 3-5 senior engineers
- 90%+ test coverage on all APIs
- CI/CD with GitHub Actions and Sentry
- Fixed price agreed in Roadmap phase
- Production monitoring with Datadog
Our process for building Python backends
We follow a four-phase process that delivers a production-ready backend in 8-12 weeks.
The process starts with a Discovery call where we understand your business requirements. We then move to the Roadmap phase where we design the system architecture.
The Build phase is where we write all the code. We use Django, FastAPI, or Flask depending on your needs. The final phase is Release, where we deploy to production and hand over the code.
What ships with every Python backend
Every project includes these deliverables by default. No hidden costs.
We believe in full transparency. Every deliverable is listed in the Roadmap document and included in the fixed price.
You own everything. Source code, documentation, and infrastructure scripts are yours from day one.
- Source code in your GitHub/GitLab repo
- CI/CD pipeline with GitHub Actions
- Automated test suite (90%+ coverage)
- API documentation with OpenAPI/Swagger
- Database schema and migrations
- Deployment scripts for AWS or GCP
- Sentry error tracking
- Datadog monitoring dashboard
- 30-day post-release warranty
- 1-hour onboarding session for your team
What we ship in this practice.
Multi-tenant SaaS backend for a B2B analytics platform
Built a Django-based multi-tenant backend with PostgreSQL. Each tenant gets isolated data and custom domain. Reduced tenant onboarding time from 2 weeks to 2 hours. Tech stack: Django, PostgreSQL, Stripe, Celery, Redis.
HIPAA-compliant patient portal backend
Developed a FastAPI backend for a telemedicine platform. Handles PHI data with encryption at rest and in transit. Passed HIPAA audit on first try. Tech stack: FastAPI, PostgreSQL, AWS KMS, Auth0.
Real-time order processing system for an ecommerce brand
Built a WebSocket-based order tracking system using Django Channels and Redis. Processes 500 orders per minute with 200ms latency. Reduced manual order errors by 90%. Tech stack: Django, Channels, Redis, PostgreSQL, Stripe.
MLS data aggregation API for a real estate platform
Created a FastAPI service that aggregates MLS data from 50+ sources. Normalizes listings and exposes a unified API. Cut data ingestion time from 6 hours to 15 minutes daily. Tech stack: FastAPI, PostgreSQL, Celery, Redis.
Payment gateway integration for a fintech startup
Integrated Stripe Connect and Plaid into a Django backend. Handles payment processing, bank account linking, and compliance reporting. Passed PCI-DSS audit without issues. Tech stack: Django, PostgreSQL, Stripe, Plaid.
IoT data pipeline for a manufacturing company
Built a data pipeline using FastAPI and Kafka that ingests sensor data from 10,000 devices. Processes 1 million events per day. Reduced data loss to 0.01%. Tech stack: FastAPI, Kafka, PostgreSQL, InfluxDB.
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. You know the cost before we write a single line of code.
Senior engineers only
Every engineer on your project has 8+ years of experience in Python backend development. No juniors, no interns. Our team includes engineers who have worked at Google, Amazon, and Stripe.
Full code ownership
You own all source code, documentation, and infrastructure scripts from day one. No licenses, no restrictions, no vendor lock-in. Your code is in your GitHub repo from the first commit.
Production-grade testing
Every API endpoint has automated tests with 90%+ coverage. We use pytest, factory_boy, and django-test-plus. Tests run in CI on every pull request. No regressions in production.
Built-in monitoring and alerting
We set up Sentry for error tracking and Datadog for performance monitoring. You get alerts when latency spikes or error rates increase. We also include a 30-day post-release warranty.
Compliance ready
We build backends that pass HIPAA, PCI-DSS, and SOC 2 audits. We use encryption, access controls, and audit logs. Our engineers have built compliant systems for healthcare and fintech companies.
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.