Zaply
Zaply
Services · Engineering

Backend Development

Robust APIs, scalable microservices, and cloud-native architecture that power your product at any scale — built for performance, reliability, and security from day one.

01What we build

What we build

  • API design & development

    We architect and build RESTful, GraphQL, and gRPC APIs that are secure, well-documented, and designed for high-throughput workloads. Every endpoint is tested, versioned, and production-ready.

  • Microservices architecture

    We split monoliths into services using domain-driven design and event-driven communication, so each part can be deployed and scaled independently.

  • Database architecture & optimization

    From relational modeling to NoSQL schemas, we design data layers that balance consistency, availability, and partition tolerance. We optimize queries, indexes, and caching strategies for real-world loads.

  • Cloud-native backend systems

    Serverless and containerised backends on AWS, GCP or Azure, with auto-scaling and infrastructure as code to reduce operational overhead.

  • Real-time & event-driven systems

    Real-time features with WebSockets, SSE, message queues and event streams on Kafka, RabbitMQ or Redis Streams.

  • Authentication & security

    OAuth 2.0, OpenID Connect, JWT, RBAC, and API gateway policies. We implement secure authentication flows, rate limiting, and threat detection from day one.

02Engineering practices

What every backend we deliver includes

These practices are part of the standard scope of every project.

  • Performance at scale

    We measure latency and resource usage, and apply caching and connection pooling where needed to handle more load without degrading service.

  • Reliability by design

    Circuit breakers, retries with exponential backoff, idempotency keys, and graceful degradation ensure your system stays available even when dependencies fail.

  • Observability built-in

    Structured logs, distributed tracing and metrics dashboards to follow every request end to end.

  • Security-first mindset

    OWASP-compliant practices, dependency scanning, secret management, and regular penetration testing are baked into our development lifecycle.

  • CI/CD pipelines

    Automated testing, staging environments, and zero-downtime deployments with canary releases and feature flags reduce risk and accelerate delivery.

  • Clean handoff & documentation

    We deliver comprehensive API docs, architecture decision records, runbooks, and knowledge-transfer sessions so your team can own and extend the system.

03Our toolkit

Backend and infrastructure technologies

We select the right tools for each project based on performance requirements, team expertise, and ecosystem maturity.

Languages
TypeScript, Python, Go, Rust, Java, C#, Kotlin
Runtimes & frameworks
Node.js, NestJS, Express, Fastify, FastAPI, Django, Spring Boot, .NET
Databases
PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, ClickHouse, Elasticsearch
Message & event systems
Kafka, RabbitMQ, Redis Streams, SQS/SNS, Google Pub/Sub
Cloud & infrastructure
AWS, GCP, Azure, Docker, Kubernetes, Terraform, Pulumi
Observability
OpenTelemetry, Prometheus, Grafana, Datadog, Sentry, ELK Stack

04How we work

How we run a backend project

  1. 01

    Architecture discovery

    We analyze your product requirements, traffic projections, and data models to design a backend architecture that balances performance, cost, and maintainability.

  2. 02

    API contract design

    We define OpenAPI or GraphQL schemas collaboratively, ensuring the contract meets frontend needs before writing implementation code.

  3. 03

    Iterative development

    We work in two-week sprints and deliver incrementally, with continuous integration, automated tests and staging deployments.

  4. 04

    Performance & security audit

    Load testing, query analysis, and security scanning identify bottlenecks and vulnerabilities before production release.

  5. 05

    Production deployment

    Canary releases, feature flags, and automated rollback strategies ensure smooth, low-risk launches with real-time monitoring in place.

  6. 06

    Ongoing support & evolution

    We monitor SLIs, gather feedback, and iteratively improve performance, reliability, and feature coverage as your product grows.

Need to design or scale a backend?

Tell us about your current architecture and performance goals, and we'll propose how to approach it.