Best Scalable Backend Development CompanyBackend Development
We build backend systems that handle 10x traffic without breaking. Get a fixed-price MVP in 8-12 weeks.
IRPR builds scalable backend systems for apps that grow fast. We use Node.js, Go, PostgreSQL, Redis, and AWS to handle millions of requests.
We ship production-ready backends in 8-12 weeks with fixed pricing from $80K to $250K. Every project includes CI/CD, monitoring, and compliance readiness for HIPAA or SOC 2.
We work with CTOs who need to scale from 10 to 100k users in 6 months, startup founders building SaaS MVPs with complex data models, and enterprise teams modernizing legacy monoliths.
Types of software we ship.
API Gateway
Build a centralized entry point for microservices with rate limiting, auth, and routing using Kong or NGINX.
Microservices Architecture
Decompose a monolith into 10+ independent services communicating via gRPC or message queues.
Real-time Data Pipeline
Process streaming data from Kafka or Kinesis into analytics dashboards with under 100ms latency.
Serverless Backend
Deploy auto-scaling functions on AWS Lambda or Cloudflare Workers with no idle cost.
Database Sharding Solution
Distribute a PostgreSQL database across 16 shards to handle 1 billion rows.
Message Queue System
Implement RabbitMQ or SQS for decoupled async job processing with retry logic.
Authentication Service
Build a custom OAuth2/OIDC provider supporting SSO for 10,000+ users with JWT.
GraphQL Federation
Unify multiple microservices under a single GraphQL endpoint using Apollo Federation.
We build for every business type.
SaaS product companies
Logistics and real estate
Payments and CRM
Chatbots and identity
Healthcare and telemedicine
Why Scalable Backend Matters for Growth
A backend that cannot scale will cap your revenue.
When your app hits 10,000 concurrent users, a poorly designed backend crashes or slows down. We design for horizontal scaling from day one using load balancers, read replicas, and caching.
Our clients see 99.9% uptime even during traffic spikes. We use AWS Auto Scaling, Redis caching, and PostgreSQL read replicas to handle 10x loads without code changes.
Generic Dev Shop vs IRPR: The Builder Difference
Not all development teams handle scale the same way.
Most agencies start with a single server and hope it scales later. IRPR designs for scale from week 1 using AWS best practices and database sharding strategies.
We have shipped over 200 products that handle millions of requests daily. Our fixed pricing model means you know the cost before a single line of code is written.
- No load testing in scope
- Single server deployment
- No database indexing strategy
- Caching added as afterthought
- No auto-scaling configured
- No performance SLA
- Load test at 10x target traffic in week 6
- Multi-AZ AWS deployment with auto-scaling
- Indexing and sharding planned in Roadmap
- Redis/Memcached caching from day 1
- Auto-scaling groups and ALB configured
- 99.9% uptime guarantee in contract
Scalable Backend Development in 4 Phases
We move from idea to production in 8-12 weeks.
Each phase has a fixed cost and clear deliverables. No scope creep, no surprises.
You control timeline and budget from the start. We use a Discovery week to define data model before any code.
What Ships With Every Scalable Backend
You get more than code - you get a production-ready system.
Every project includes CI/CD, monitoring, logging, and a runbook. You own the code and infrastructure with full access.
- Source code in your private GitHub repo
- CI/CD pipeline on GitHub Actions or GitLab CI
- AWS CloudFormation or Terraform infrastructure as code
- Sentry error tracking and performance monitoring
- CloudWatch dashboards for latency, errors, and traffic
- Load test report using k6 or Artillery
- PostgreSQL database with automated backups
- API documentation with Postman collection or OpenAPI spec
- Runbook for common incidents
- 30 days of post-release support
What we ship in this practice.
Real-time Inventory API for Ecommerce
Built a backend that handles 50,000 inventory updates per second using Kafka, Node.js, and PostgreSQL. Reduced API latency from 200ms to 40ms.
Healthcare Data Pipeline for Telemedicine
Created a HIPAA-compliant data pipeline processing 1 million patient records daily with Go and AWS Kinesis. Achieved 99.99% uptime over 6 months.
Payment Processing Backend for Fintech
Built a PCI-DSS compliant payment gateway with dual write to PostgreSQL and MongoDB, processing $2M in transactions monthly with no downtime.
Microservices Migration for Real Estate Platform
Decomposed a monolith into 12 microservices using Docker and Kubernetes. Load times dropped from 3 seconds to 300ms, and deployment frequency went from weekly to daily.
Event-Driven Backend for EdTech Platform
Implemented a serverless event system with AWS Lambda and SQS that handles 10,000 concurrent quiz submissions. Reduced infrastructure costs by 40%.
Geospatial API for Logistics Startup
Developed a routing API using PostGIS and Redis that calculates optimal routes for 10,000 delivery points in under 2 seconds. Supported growth from 100 to 5,000 daily orders.
Why teams hire us.
Fixed price, not hourly
Every scalable backend project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices. Our average backend project costs $80K-$250K and delivers on time.
Scalability designed from day one
We include load testing at 10x projected load in the contract. Our backends handle traffic spikes without code changes because we use Auto Scaling groups, read replicas, and Redis caching from the start.
Senior engineers only, no juniors
Our team averages 10 years of backend experience. Every engineer owns multiple microservices and has shipped to production for clients in 50+ countries.
Full ownership and transparency
When the project ships, you own all source code, infrastructure scripts, and credentials. There is no vendor lock-in. We transfer AWS access and GitHub repos on day 1 of the Release phase.
Compliance-ready architecture
We build backends that meet HIPAA, PCI-DSS, SOC 2, and GDPR requirements. Our architecture includes encryption at rest and in transit, audit logs, and role-based access control.
8-12 week production timeline
We deliver a production-ready scalable backend in 8-12 weeks. The average startup launches in 10 weeks because we parallelize API development, database setup, and CI/CD configuration.
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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