Node.js and TypeScript developers for backend services

Node.js and TypeScript developers implement backend services when product requirements exceed current engineering capacity. They review existing code and service boundaries before extending an application or introducing a separate service.

Work can include NestJS or Express development, with explicit TypeScript contracts and runtime input validation. Engineers translate business rules into application code and add unit tests around expected behaviour. Architecture assessments address concrete decisions such as modular monoliths versus separate services, based on workload and maintenance constraints.

API engineers build interfaces for web applications and connected business systems. They define request contracts and error responses so consumers can integrate without depending on undocumented behaviour.

• REST and GraphQL APIs: Implement endpoints or resolvers with authorization checks. Document REST contracts with OpenAPI and test compatibility with existing consumers.
• External integrations: Connect third-party services using OAuth 2.0 or signed webhooks. Add timeouts and retry handling, with idempotency controls where repeated requests could create duplicate transactions.

Backend engineers address slow data access and jobs that compete with interactive requests. They examine query plans and transaction boundaries before changing application code or database structures.

For PostgreSQL-backed services, specialists can implement schema migrations and review queries generated through Prisma or TypeORM. Redis caching requires explicit expiry and invalidation rules. Background processing with BullMQ can move suitable tasks outside request handling, with bounded retries and failed-job handling. Engineers check concurrency behaviour where simultaneous updates could corrupt business records.

Maintain existing Node.js services through defect investigation and dependency updates. Engineers use application logs and distributed traces to locate failures, then add regression tests around the affected behaviour.

Support can include Node.js runtime upgrades and incremental JavaScript-to-TypeScript conversion. Specialists assess package compatibility before changing versions and isolate risky changes behind test coverage. For performance incidents, CPU profiling and heap analysis distinguish event-loop blocking from memory growth. Changes can then be checked against representative workloads before release.