Experienced Python Backend Development DevelopersBackend Development
Senior engineers who ship Python backends for mid-market and enterprise. Fixed price, no hourly games, full ownership of code.
IRPR builds production grade Python backends using Django, FastAPI, and Flask on AWS Lambda or ECS with PostgreSQL or MongoDB. We write async services for high throughput APIs and batch processing pipelines that handle millions of requests per day.
Every project ships in 8 to 12 weeks under a fixed price quote from the Roadmap phase. Typical engagements run from $80,000 to $250,000 depending on scope and compliance requirements. We handle SOC 2, HIPAA, and PCI DSS audits on the backend layer.
We work with CTOs who need a senior backend team for their core product, founders launching a data heavy SaaS that require a scalable API from day one, and engineering directors who want to replace a slow offshore setup with a US based senior squad.
Types of software we ship.
REST API Development
Build CRUD and complex API endpoints in Django REST Framework or FastAPI with JWT auth, rate limiting, and Swagger docs.
GraphQL Backend Services
Implement GraphQL schemas in Python using Strawberry or Graphene with subscriptions and resolver optimization.
Data Processing Pipelines
Create ETL pipelines in Python with Airflow, Celery, or Prefect that process terabytes of data per day.
Real Time Backend Systems
Build WebSocket and SSE backends with FastAPI or Django Channels for live dashboards and notifications.
Authentication & Authorization Services
Implement OAuth2, SAML, and OpenID Connect flows in Python using Authlib or Django Allauth with LDAP integration.
Microservices Architecture
Design event driven backend systems with Python microservices on Docker, Kubernetes, and message brokers like RabbitMQ or Kafka.
Third Party API Integration
Connect Python backends to Stripe, Salesforce, HubSpot, or Twilio using idiomatic SDKs and retry logic.
Serverless Backend Functions
Write Python AWS Lambda functions with API Gateway, Step Functions, and DynamoDB for auto scaled micro backends.
We build for every business type.
SaaS companies
fintech firms
healthtech businesses
ecommerce brands
media and publishing
Why companies choose experienced Python backend development developers
Hiring a senior Python backend team means your product scales without rewrites and your compliance audits pass the first time.
IRPR has shipped 200+ Python backends for companies in healthcare, fintech, and SaaS. Every backend we deliver includes automated tests with pytest, code coverage above 85 percent, and CI/CD pipelines on GitHub Actions. We use Sentry for error tracking and CloudWatch for performance monitoring out of the box.
Our engineers average 10 years of Python experience. They have built backends that handle 100 million API calls per day and databases with 50 terabytes of data. You get a senior squad that writes clean async code and documents every endpoint with OpenAPI.
Generic dev shop vs experienced Python backend development developers
The difference is not just code quality. It is how the project is run and what ships when the budget runs out.
Many generic agencies hire junior Python developers who learn on your dime. They use hourly billing that incentivizes slow work and often deliver spaghetti code with zero tests. You pay for refactoring later.
IRPR assigns senior Python engineers only. We give you a fixed price quote during the Roadmap phase at week 2. No hourly tracking and no surprises. Every backend ships with full test coverage, CI/CD, and production monitoring.
- junior developers with 2 years experience
- hourly billing with no cap
- no written architecture before coding starts
- zero automated tests
- no CI/CD pipeline delivered
- code is not documented
- senior engineers with average 10 years Python
- fixed price based on Roadmap phase
- architecture doc shared in week 2
- pytest coverage above 85 percent
- CI/CD pipeline on GitHub Actions
- OpenAPI docs and Sentry monitoring
Our process for building your Python backend
We follow four phases that take 8 to 12 weeks from idea to production deploy.
Every project starts with a structured Roadmap. We do not write a single line of code until you have approved a detailed architecture, API schema, and timeline with fixed pricing.
Then we build, test, and deploy in 2 week sprints. You see working endpoints on staging after the first sprint. By week 12 your backend is live on production with monitoring and alerting.
What ships with your Python backend
Every delivery includes the full production stack so you can operate independently from day one.
We deliver source code in your private GitHub repo, a CI/CD pipeline that runs tests and deploys automatically, and infrastructure as code in Terraform. No black boxes and no licensing locks.
You also get production monitoring with Sentry and CloudWatch, a Postman collection for all endpoints, and a 30 day warranty period for any bug fixes. Our team is available for handover calls until your team is comfortable.
- Source code in your private GitHub repo
- CI/CD pipeline on GitHub Actions
- Infrastructure as code in Terraform
- OpenAPI / Swagger documentation
- Postman collection for all endpoints
- Sentry error tracking
- CloudWatch logs and metrics
- pytest suite with 85%+ coverage
- Dockerized development environment
- 30 day warranty on defects
What we ship in this practice.
Multi tenant CRM backend
Built a Django backend with PostgreSQL schemas per tenant, Celery queues for email sync, and HubSpot integration. Reduced manual data entry by 8 hours per week for the sales team using automated lead enrichment. Stack: Django, Celery, PostgreSQL, HubSpot API, Redis.
HIPAA compliant patient API
Developed a FastAPI backend for a telehealth startup with HIPAA compliant audit logs, encrypted at rest PHI storage, and HL7 FHIR integration. Passed SOC 2 Type II audit on first attempt. Stack: FastAPI, PostgreSQL, AWS KMS, FHIR, Auth0.
Real time fraud detection engine
Built a Python backend with Kafka streams and ML model serving via FastAPI that flags fraudulent transactions in under 200 milliseconds. Reduced false positives by 40 percent compared to the previous rules based system. Stack: FastAPI, Kafka, Scikit learn, Redis, Datadog.
Product catalog API for ecommerce
Created a GraphQL backend using Strawberry that serves 10,000 product SKUs with faceted search, inventory sync from 3PLs, and Stripe payment orchestration. Handles 500 requests per second during Black Friday traffic. Stack: Strawberry, PostgreSQL, Elasticsearch, Stripe, AWS ECS.
Data pipeline for real estate analytics
Built an Airflow DAG based pipeline that ingests MLS listings from 50 sources, normalizes the data, and pushes it to a PostGIS database for spatial queries. Reduced ingestion time from 6 hours to 45 minutes. Stack: Airflow, Python, PostGIS, S3, Glue.
Serverless backend for edtech platform
Developed an event driven backend with AWS Lambda, DynamoDB, and SQS for a learning management system serving 50,000 students. Handles 1 million quiz submissions per day with auto scaling. Stack: AWS Lambda, DynamoDB, SQS, API Gateway, Python.
Why teams hire us.
Fixed price from week 2
We give you a fixed quote during the Roadmap phase at week 2. No hourly billing, no surprise invoices, no scope creep charges. You know the total cost before we write a single endpoint.
Senior engineers only
Our team averages 10 years of Python experience. We do not staff juniors or offshore contractors. Every engineer on your project has shipped at least 5 production Python backends.
Full ownership of code and infrastructure
You own the source code, CI/CD pipeline, and Terraform infrastructure from day one. No licensing fees, no vendor lock in, and no hidden dependencies. We deploy to your AWS account.
Compliance ready backends
We build Python backends that pass SOC 2, HIPAA, and PCI DSS audits. Every endpoint includes audit logs, encryption at rest and in transit, and OWASP compliant security checks.
98 percent on time delivery
Over 200 projects shipped with a 98 percent on time rate. We use 2 week sprints with clear milestones and daily standups so you never wonder about progress.
Production support after launch
We include 30 days of production support after deployment. If a bug appears, we fix it within 4 hours during business hours. Extended support contracts available at $5,000 per month.
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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