Backend Development
We engineer backend systems built for speed, resilience, scale, and long-term maintainability — using proven patterns, typed APIs, strong security, and cloud-ready architecture.
Backend Systems Engineered for Real-World Traffic
Codexium engineers build backend systems that handle millions of requests, scale horizontally, and remain reliable under unpredictable load.
We use event-driven design, microservices, message queues, caching layers, and typed contracts to ensure stability, observability, and fast iteration.
API Development
REST, GraphQL, tRPC, OpenAPI, authentication, authorization, versioning, and clean API boundaries built for scale.
Microservices Architecture
Event-driven systems with queues, workers, pub/sub, domain boundaries, and high-availability deployment patterns.
Databases & Storage
SQL & NoSQL systems: PostgreSQL, MySQL, Redis, DynamoDB, MongoDB — optimized indexing, migrations, backups, and performance tuning.
What we typically deliver in a Backend Engineering engagement
- Typed APIs with authentication, RBAC, and clean domain boundaries
- Microservices and workers for async processing
- Real-time data pipelines, queues, and event streaming
- Cloud-native deployment strategies for scale and reliability
- Robust observability: logs, metrics, traces, alerts
Why Codexium Backend Engineering Works
Our backend approach prioritizes stability, security, and scalability — removing bottlenecks and unlocking fast product iteration.
Every service is designed with strict types, predictable patterns, and strong guardrails, ensuring maintainability for years.
When Codexium is the right backend partner
- You’re building a full SaaS platform and need strong backend architecture
- Your current backend is slow, unscalable, or unreliable
- You require high-security APIs and predictable service boundaries
- Your product needs to scale without rewriting your backend
Performance
Low-latency APIs, fast queries, optimal caching, and horizontally scalable architecture.
Security
Strong auth, secrets management, encrypted data paths, and hardened service boundaries.
Scalability
Cloud-native autoscaling, queues, workers, and distributed architecture ready for real-world workloads.