Hire Backend Developers — Node.js, Python & Go

Our primary backend stack is Node.js with TypeScript. We also have strong Python capabilities (Django, FastAPI) for data-heavy or ML-adjacent projects, and Go for performance-critical services that need low latency and minimal memory footprint. We recommend the right language for your specific workload during the scoping call.

Standard start time is 48 hours from contract signing. We keep available backend developer capacity at all times to honour this. For Go specialists or developers with specific infrastructure expertise, one week is a more realistic lead time.

Yes. Database design is a core competency, not an afterthought. Our developers model relational schemas in PostgreSQL — normalising appropriately, indexing for the query patterns your application actually runs, and writing migrations that deploy safely to production without downtime.

Security is built in from the start. We use parameterised queries to prevent SQL injection, validate all inputs with Zod or Pydantic, implement HTTPS everywhere, set appropriate security headers, rate-limit endpoints with Redis, and follow token lifecycle best practices (short JWT expiry, refresh token rotation, revocation on logout). We run OWASP-based reviews before every production launch.

Yes. We regularly join existing backend projects to add features, fix performance issues, introduce testing, or migrate to a more modern stack. We start with a thorough code and architecture review, identify the highest-priority improvements, and build a plan before making changes.

Our backend developers are comfortable with deployment and cloud basics — Docker, Railway, Heroku, AWS (ECS, Lambda, RDS), and serverless platforms. For complex infrastructure work (Kubernetes, Terraform, multi-region setups), we can bring in a dedicated DevOps engineer alongside the backend developer.

Reliability comes from multiple layers: comprehensive input validation, proper error handling and structured logging, graceful degradation when dependencies fail, database transaction integrity, retry logic with exponential backoff for external calls, and thorough unit and integration testing. We treat resilience as a first-class concern in every API we build.

Prisma is our default for most Node.js projects — it provides a type-safe query builder, migration management, and excellent TypeScript integration. Drizzle ORM is a lighter alternative we use for performance-sensitive workloads. For complex queries that benefit from raw SQL, we drop to pg or asyncpg directly with typed result wrappers.

Yes. We implement WebSocket servers with ws or Socket.IO, and Server-Sent Events for one-way streams. For high-throughput real-time scenarios (live feeds, multiplayer, collaborative editing), we architect the backend with Redis Pub/Sub or a message broker to fan out events across horizontally scaled instances.

We use BullMQ with Redis for Node.js background jobs — it supports durable queues, retries with configurable backoff, dead-letter queues for failed jobs, and a dashboard for monitoring queue health. For Python projects, we use Celery with Redis or RabbitMQ as the broker. Jobs are idempotent by design to handle duplicate execution safely.

Yes. We write unit tests for business logic with Jest or pytest, integration tests for API endpoints with Supertest or httpx, and database tests against a real PostgreSQL instance in CI. Test coverage is agreed at project start and enforced in the pull request pipeline.

We offer monthly retainer (fixed hours, guaranteed availability) and time-and-materials (billed weekly). Both models include a weekly progress report, access to your account manager, and transparent timesheets. Minimum engagement is one month. Most backend projects run three to six months.