Scale • Backend & Distributed Systems
Backend &
Distributed Systems
Engineer high-throughput, reliable backend systems and distributed architectures for demanding workloads. We build the infrastructure that powers your product at scale.
25+
Engineers
40+
Clients
58
Case Studies
Backend
Distributed Systems • Cloud • Data
Distributed
High Avail.
Data Layer
Petabyte
Latency
<50ms P99
Architecture
Event-Driven
Backend Systems We Build
From high-throughput APIs and event-driven architectures to real-time systems and distributed task processing -- we engineer backend systems built for scale.
API Platforms
High-throughput API platforms (REST, GraphQL, gRPC) serving thousands to millions of requests per second
Event-Driven Systems
Event-driven backends using event sourcing, CQRS and message-based communication for high-volume async events
Real-Time Services
Real-time backend services for live dashboards, collaborative features, notifications and streaming data
Engineering Capabilities
Deep expertise across API architecture, distributed systems, data engineering, performance optimization and reliability engineering.
API Architecture
- REST and GraphQL API design
- API gateway and rate limiting
- Versioning and backward compatibility
- Authentication and authorization
Backend Engineering Approach
A structured approach to backend system development -- from architecture assessment through design, build, production hardening and scale.
01
Architecture Assessment
Analyze current system, identify bottlenecks, map dependencies and evaluate scaling requirements.
02
System Design
Design target architecture with service boundaries, data models, API contracts and infrastructure plan.
03
Proof of Concept
Validate approach on the highest-risk component -- performance, data consistency or integration.
04
Iterative Development
Build in sprints with continuous load testing and performance validation.
05
Integration & Migration
Connect with existing systems, migrate data and implement backward compatibility.
06
Production Hardening
Load testing, chaos engineering, monitoring setup and incident response procedures.
Technology Stack
The exact stack is selected based on system requirements -- not a fixed technology mandate.
Backend
🐍Python / FastAPI
🟢Node.js / NestJS
🔷Golang
TSTypeScript
☕Java / Spring Boot
Messaging
📨Apache Kafka
Related Solutions
Explore related capabilities that complement backend and distributed systems engineering.
Backend Use Cases
We engineer backend systems across industries and use cases -- from API scalability and event-driven processing to multi-region architectures and data pipelines.
API Scalability
Scale APIs from hundreds to thousands of requests per second
Event-Driven Processing
Build async event processing for order fulfillment, notifications, analytics
Microservices Migration
Decompose monoliths into independent, scalable backend services
Real-Time Data Streaming
Live updates, notifications and real-time dashboards
Search Infrastructure
High-performance search and filtering across large datasets
Background Job Processing
Distributed task queues for batch processing, imports and exports
Data Pipeline Architecture
ETL pipelines, data transformation and analytics infrastructure
Multi-Region Architecture
Distribute services across regions for latency and availability
Engineered for Scale
We engineer backend systems for production -- optimized for throughput, latency, reliability and observability at scale.
Throughput
Horizontal scaling, load balancing, connection pooling and async processing
Latency
Query optimization, caching, CDN and efficient serialization
Reliability
Circuit breakers, retry logic, graceful degradation and failover
Engineering Team Model
The team is structured around your system requirements, not a fixed package. Team composition adapts based on architecture needs.
2-Person Squad
Focused backend initiative. Targeted API development, performance optimization or specific service build.
3-Person Squad
Substantial backend module development. Microservices, event-driven systems or data-intensive features.
5-Person Squad
Full backend engineering with Technical Lead, Backend Engineers, DevOps and QA.
How We Work Together
A flexible engagement model that grows with your system -- from initial assessment to long-term engineering partnership.
1
Architecture Assessment
Understand your system, identify bottlenecks, evaluate scaling requirements
2
System Design & POC
Design the target architecture, validate with a proof of concept on the highest-risk component
3
System Build
Develop the backend systems with a dedicated engineering team
4
Backend Engineering Team
Ongoing team embedded in your engineering organization for continuous development
5
Facing a Backend Challenge?
Tell us about your system, where it is struggling and what scale you need to reach. We will assess the architecture and recommend the right approach.
