Backend development in Spring Boot, Python & Node.js
Spring Boot microservices, FastAPI and Django services, Node.js APIs and the data layers beneath them — backends that scale without a rewrite, built to hold up under real production load.
Specialist practices
Three stacks, one architecture team
We run dedicated Spring Boot, Python and Node.js practices, so the stack we recommend is the one that fits your workload and your team — not the only one we can staff.
Spring Boot & Java
Java microservices, REST APIs and batch pipelines — the stack behind our banking early-warning systems.
Spring Boot DevelopmentPython
FastAPI and Django backends, Frappe/ERPNext customisation and the Python under our AI practice.
Python DevelopmentNode.js
TypeScript APIs with NestJS, BFF layers under React and Next.js, real-time and serverless services.
Node.js DevelopmentIndustries we serve
Scalable API layers and event-driven microservices for software products.
High-throughput, low-latency transaction processing and secure data APIs.
Real-time tracking APIs and integrations with carrier and warehouse systems.
Secure, compliant data APIs with full audit trails and role-based access.
Order, inventory, and payment APIs built to absorb traffic spikes without dropping requests.
High-concurrency content delivery and real-time pipelines tuned for low-latency playback.
Ingestion backends for high-volume device telemetry with durable queuing and stream processing.
Multi-tenant data layers with isolation, RBAC, and audit logging for B2B platforms.
The hidden cost of backend shortcuts
The rush to ship features fast creates API bloat and technical debt — a quiet gap between early development speed and the long-term cost of running the system in production.
Systems built for hundreds of users buckle at thousands. Retrofitting scale late is expensive and risky — when the goal should be growing from 100 to millions of users without a rewrite.
When outages hit production, teams with no structured logging, tracing, or alerting are flying blind — and the incident always costs more than the fix would have.
Monolithic cores where one change breaks everything slow every release. API bloat and accumulated technical debt make each new feature cost more than the last.
Architecting the backbone of your digital products
Backend engineering across API design, database architecture, event-driven systems, and the cloud platform layer — built for high concurrency and visible ROI, not quick fixes.
Fast APIs for modern, data-intensive products
REST and GraphQL APIs designed contract-first, with versioning, auth, and rate limiting built in — so clients integrate cleanly and nothing breaks on the next release.
- REST & gRPC APIs — Well-documented, versioned API contracts with OpenAPI specs, consistent error envelopes, and contract testing pipelines.
- REST & GraphQL APIs — Express, Fastify, and FastAPI backends with schema-first GraphQL using Apollo or Strawberry — typed, documented, and tested.
- Django & Flask Backends — Full-featured Django apps with DRF, or lightweight Flask services for data pipelines, ML model serving, and internal APIs.
What we solve
From 0-to-1 products to enterprise-scale modernisation
From a product backend’s first commit to transforming a monolithic legacy core into resilient microservices — we build backends that scale without a rewrite.
TALK TO AN EXPERTDomain-driven service decomposition with event buses, service mesh, and fault-tolerant inter-service communication patterns that survive partial failure.
Kafka and RabbitMQ-backed event streams for data ingestion, async processing, and real-time analytics — built to handle bursty traffic without data loss.
Clean adaptor layers for CRMs, ERPs, payment gateways, and partner APIs — with retry logic, circuit breakers, and idempotency built in from the start.
Backend APIs for internal tooling, admin dashboards, and B2B integrations — secured with RBAC, audit logging, and rate limiting from day one.
Collaboration models
Engage our backend team the way that fits
Whether you need an architecture review, a full system built from scratch, or senior backend engineers embedded in your team, we shape the engagement around your roadmap and capacity.
Discovery & Scoping
A fixed-fee engagement to audit your current backend, map bottlenecks, and produce a costed architecture plan before you commit.
Project-Based Build
Fixed-scope delivery of an API, service, or full backend platform — from data model and architecture through deployment and handover.
Dedicated Team
A managed backend squad — engineers, DevOps, and a tech lead — running as an extension of your business and owning delivery end to end.
Team Augmentation
Senior backend and platform engineers plugged into your existing team to accelerate delivery without the hiring overhead.
Slow APIs are a product problem.
We audit, fix, and rebuild backend systems to handle the load your product actually needs.
Book an architecture reviewHow we deliver
An end-to-end path from audit to optimisation
Capital shouldn’t sink into fragile code. Every engagement moves through the same five phases — so scaling is deliberate, not a scramble.
Audit
We map your current infrastructure to find bottlenecks, security gaps, and API bloat before any scaling begins.
Stabilise
We clear legacy technical debt, refactoring monolithic cores into resilient, independently deployable microservices.
Scale
We engineer high-concurrency architectures designed to grow from hundreds to millions of users without a rewrite.
Protect
We embed zero-trust security and encryption into every layer — from the first line of code.
Optimise
We tune resources and performance to reclaim cloud spend and hold latency low under real load.
How we build
Engineering principles behind every backend
Scalable. Secure. Stable. Every backend we build follows the same principles — so your infrastructure both performs today and evolves with you tomorrow.
Scalability First
We design for automatic expansion — stateless services, load balancing, and auto-scaling — so your backend grows from hundreds to millions of users without a rewrite.
Security by Design
Zero-trust boundaries, encrypted data, and strict access control embedded in every layer from the first line of code — never bolted on after a breach.
Performance by Default
High-throughput, low-latency systems tuned with advanced caching, database indexing, and async processing — engineered for real-time interactions at massive concurrency.
Our Technology Stack
Powered by proven backend technologies
We choose the language and framework that fits your team, traffic profile, and long-term maintenance needs — not the one that’s trendy this quarter.
Java
Spring Boot
Node.js
Express
Python
FastAPI
Django
Flask
GraphQL
PostgreSQL
MySQL
MongoDB
Redis
Elasticsearch
Docker
AWSCase studies
Backends we have engineered in Spring Boot, Python and Frappe
APPISTOKI
Cross-Platform Mobile Commerce & App Marketplace. ATS developed a React Native application marketplace with cross-platform components, Firebase-powered push notifications, and Spring Boot backend services managing catalogue, transactions, and user accounts.
Read case study
Travel TechnologyBizGlobe Travel Tech
Unified Multi-Service Travel Booking Platform (Web + Mobile). ATS developed a comprehensive travel platform with Spring Boot microservices powering each travel vertical (Flights, Hotels, Trains, Visa, Insurance, Cab, Cruise) via well-defined REST APIs.
Read case study
Emergency Healthcare / Public SafetyResqRoute — Emergency Ambulance Platform
Real-Time Ambulance Dispatch & Route Optimisation Platform (Web + App). ATS designed and built ResqRoute — a real-time emergency response platform built on FastAPI for high-throughput backend services, React.js for the web-based dispatch centre dashboard, and Flutter for the cross-platform paramedic and patient mobile applications.
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Travel TechnologyBizGlobe Travel Tech
Cross-Platform Travel Super-App — Flights, Hotels, Trains, Buses, Cabs, Visa & Insurance. ATS developed a React Native mobile application covering 9 travel verticals (Flights, Hotels, Trains, Bus, Cab, Cruise, Visa, Insurance, Sightseeing) sharing a common Spring Boot API backend.
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Emergency Healthcare / Public SafetyResqRoute — Emergency Ambulance Response
Real-Time Ambulance Tracking & Dispatch App — Life-Critical Emergency Response Platform. ATS built ResqRoute — a life-critical emergency response ecosystem consisting of three interconnected applications: a Flutter patient app (SOS, live ambulance tracking, ETA countdown), a Flutter paramedic app (job acceptance, navigation, patient details, status updates), and a React.js web-based dispatch centre dashboard.
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On-Demand Delivery / Quick CommerceZomee — Hyperlocal Delivery Platform
Hyperlocal On-Demand Delivery Super-App with 10-Minute Delivery Promise. ATS built Zomee using Flutter for cross-platform mobile development, delivering native-smooth animations and interactions on both iOS and Android from a single Dart codebase.
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From the blog
All articlesERPNext vs SAP Business One: an honest comparison for growing manufacturers
SAP is the default answer for enterprise ERP. But for mid-market manufacturers, ERPNext often delivers better outcomes at a fraction of the cost. Here's a direct comparison.
Mohammed Izhaar Haq · JUN 10, 2026BACKEND ENGINEERING ·Java Spring Boot vs Node.js for enterprise APIs: how we decide
The Spring Boot vs Node.js question comes up in every backend engagement. Both are production-proven, both have mature ecosystems, and both can handle enterprise workloads. The decision framework is more interesting than the outcome.
Mahaboob Basha · MAY 20, 2026FAQs
Common questions about backend engineering
What backend languages and frameworks do you use?+
Python (FastAPI, Django), Node.js (Express), and Java (Spring Boot) chosen based on your performance requirements and ecosystem fit. We do not push a single stack on every client.
How do you design APIs?+
OpenAPI-first. We write the spec before any code is written, review it with your frontend team, and freeze the contract before implementation starts. This eliminates integration surprises.
Can you handle high-traffic systems?+
Yes. We have built systems processing tens of millions of events per day using async workers, Redis caching, connection pooling, and horizontal scaling on Kubernetes.
How do you approach database design?+
Entity-relationship modelling, normalisation to 3NF, index strategy review, and query plan analysis before the first migration runs. Fixing schema problems in production costs orders of magnitude more.
What monitoring do you set up?+
Structured JSON logs, distributed tracing via OpenTelemetry, metrics dashboards in Grafana or CloudWatch, and PagerDuty alerting for P1 incidents. Observability is wired in before the first deploy.
Let’s work together
Let’s build your backend together.
Tell us about your architecture and current pain points. We respond within one business day and can provide a customised quote for your requirements.