Hire Back-end Developers in Amsterdam

We design and build APIs and distributed backend services that make systems easier to integrate, scale, and evolve independently. How we do it:

• Build REST and GraphQL APIs with clear schemas, authentication, pagination, filtering, and error handling
• Use OpenAPI/Swagger and GraphQL schemas to keep interfaces documented and easier for client teams to consume
• Apply API versioning and backward-compatibility strategies to reduce breaking changes
• Use contract testing to verify that services and consumers continue to work together after updates
• Design event-driven services with queues, streams, and asynchronous processing for high-volume workflows
• Break monoliths into services gradually using techniques such as the Strangler Fig pattern rather than attempting a high-risk rewrite
• Add rate limiting, observability, retries, and circuit breakers to improve resilience

We build backend systems that connect internal platforms, external partners, and operational workflows while maintaining the control and traceability enterprise environments require. How we do it:

• Integrate ERP, WMS, CRM, payment, logistics, and partner systems through APIs, middleware, webhooks, and message brokers
• Use canonical data models and transformation layers to normalize data exchanged between different systems
• Implement role-based and attribute-based access controls to restrict access by user, function, or business context
• Create audit trails and immutable activity logs for sensitive transactions and administrative actions
• Add idempotency and reconciliation mechanisms to prevent duplicate transactions and detect synchronization errors
• Use API gateways and integration layers to centralize authentication, routing, throttling, and monitoring
• Build retry, exception-handling, and dead-letter workflows for integrations that depend on unreliable external systems

We develop backend architectures designed to take advantage of managed cloud services, automated deployment, and elastic infrastructure. How we do it:

• Package applications with containers and deploy them using managed container platforms or Kubernetes where appropriate
• Use serverless functions and managed services for event-driven or variable workloads that do not require permanently running infrastructure
• Define environments with Infrastructure as Code using tools such as Terraform or native cloud templates
• Implement CI/CD pipelines so code, infrastructure, and configuration changes can be tested and deployed consistently
• Use autoscaling and managed databases to adjust capacity as demand changes
• Separate configuration and secrets from application code using secure secret-management services
• Apply cloud monitoring and cost controls to track usage, resource consumption, and unexpected spend

We identify where backend systems slow down and improve the components responsible for latency, throughput, or excessive infrastructure usage. How we do it:

• Use application profiling and distributed tracing to locate slow functions, services, and external calls
• Analyze database execution plans and apply query, schema, and index optimization
• Introduce caching at application, database, API, and edge layers where repeated computation can be avoided
• Use connection pooling, batching, and asynchronous processing to reduce unnecessary waiting and resource consumption
• Run load, stress, and endurance tests to understand system behavior under realistic and peak traffic
• Establish performance baselines and service-level indicators so regressions can be detected early
• Scale individual bottlenecks horizontally instead of increasing infrastructure across the entire application

We modernize aging backend systems in controlled stages so businesses can improve maintainability, security, and scalability without stopping critical operations. How we do it:

• Begin with a dependency, architecture, and codebase assessment to identify high-risk modules and modernization priorities
• Separate tightly coupled components using modularization and service boundaries
• Apply the Strangler Fig pattern to replace legacy functionality incrementally while the existing system remains operational
• Upgrade aging platforms such as .NET Framework, Java EE, and older PHP stacks to supported runtimes and frameworks
• Introduce automated regression and integration tests before changing critical business logic
• Use feature flags, parallel runs, and phased traffic migration to reduce cutover risk
• Add modern CI/CD, observability, containerization, and cloud infrastructure as part of the migration
• Maintain rollback paths and data reconciliation procedures for each migration stage