Senior Node.js developers, ready in two weeks
Backend engineers who build APIs other teams want to use. REST, GraphQL, database design, async processing, and production-grade deployment. Without the tutorials-as-production-code problem.
Tell us the role. Shortlisted profiles within 5 business days.
Not just APIs that work in dev, but in production
We place engineers who understand the full backend picture, from schema design to deployment, and take ownership of what they build.
REST API and GraphQL
Express, Fastify, NestJS, Apollo. Engineers who design APIs that other developers actually want to work with, not just ones that technically return the right data.
- Resource-oriented REST with consistent error codes and response shapes - no ad-hoc endpoints that only the original developer understands
- GraphQL with Apollo Server or Pothos - schema-first design, N+1 solved with DataLoader, subscriptions where real-time is actually needed
- NestJS for larger services that need structure - dependency injection, modules, and decorators applied correctly without turning every endpoint into a ceremony
- OpenAPI documentation generated from code - always in sync with what the API actually does, not a document that was last updated six months ago
Database design and integration
PostgreSQL, MongoDB, Redis. Engineers who understand what a query plan looks like and do not solve performance problems by adding more indexes at random.
- PostgreSQL with Prisma or Drizzle - type-safe queries, migrations managed properly, no raw SQL strings with wrong column names that fail at runtime
- Query optimization beyond adding indexes - explain analyze, proper use of transactions, and understanding when a JOIN is better than two queries in application code
- Redis for caching and session management - cache invalidation handled deliberately, not just setting a TTL and hoping for the best
- MongoDB for document-oriented data - schema design that fits the access patterns, aggregation pipelines written to be readable by the next developer
Authentication and security
JWT, OAuth 2.0, session management. Not copy-pasted from a tutorial but implemented with an understanding of what can go wrong.
- JWT with proper signing, expiry, and refresh token rotation - access tokens short-lived, refresh tokens stored securely, revocation handled
- OAuth 2.0 and OpenID Connect integration - Google, GitHub, and enterprise identity providers implemented correctly, not just working in the happy path
- Input validation at the API boundary with Zod or Joi - every request validated before it touches the database or business logic
- Rate limiting, CORS, and security headers configured by default - Helmet, express-rate-limit, and proper CORS policy that does not just allow everything
Background jobs and queues
BullMQ, Bull, Agenda. Async processing that actually works under load, with retries, dead-letter queues, and monitoring.
- BullMQ with Redis for reliable job processing - exponential backoff on retries, dead-letter queues for failed jobs that need human attention
- Job prioritization and concurrency limits - critical jobs processed first, workers not overwhelmed by a sudden spike in queue depth
- Monitoring with Bull Board or custom dashboards - visibility into queue health, job throughput, and failure rates without digging through logs
- Scheduled jobs that do not drift - cron-based tasks that handle daylight saving, timezone offsets, and missed runs after a server restart
Testing
Jest, Supertest, Vitest. API tests that catch real bugs, not just the ones that were easy to write tests for.
- Unit tests for business logic in isolation - services and utilities tested without spinning up a database or HTTP server
- Integration tests with Supertest against a real in-memory database - full request-response cycle tested without mocking the parts that matter
- Contract testing where the API is consumed by multiple clients - Pact or schema-based testing to catch breaking changes before deployment
- Test containers for database tests - real PostgreSQL or MongoDB running in Docker, tests that reflect actual production behaviour
Deployment and infrastructure
Docker, AWS, CI/CD. Engineers who can deploy what they build and understand what happens when it runs in production.
- Docker and Docker Compose for local and production parity - no "works on my machine" because the environment is the same everywhere
- CI/CD pipelines with GitHub Actions or GitLab CI - tests run on every PR, deploys triggered only on green builds, rollback strategy in place
- AWS basics: EC2, ECS, Lambda, RDS, S3 - right service chosen for the workload, not just the one the developer is most familiar with
- Structured logging with Pino or Winston - logs that can be searched, filtered, and correlated across services without reading walls of text
How to hire through Oberig
- 01
Tell us the role
Seniority, stack specifics, your team setup, timezone requirements. A 30-minute call covers everything we need.
- 02
Profiles in five days
We shortlist from our vetted network. You get honest assessments, not a CV dump that makes everyone sound equally impressive.
- 03
One interview
You interview once. We handle the screening so you are not spending hours per week on mismatches.
- 04
Start in week two
Developer joins your Slack, clones the repo, picks up a ticket. No extended handholding required.
- 05
Monthly check-in
We stay in the loop to make sure the collaboration is working from both sides.
Common questions
What experience level do you place?
Mid-level (2–4 years) and senior (4–8 years). We do not place juniors for team extension. The onboarding cost to your team outweighs the rate difference.
Express, NestJS, or Fastify?
Depends on the project. Express for simplicity and flexibility, NestJS for larger teams that need structure and conventions, Fastify for performance-sensitive services. Engineers can work in any of these.
Do they know the frontend side of things?
Most Node.js engineers we place are backend-focused. They understand REST and GraphQL contracts, write OpenAPI docs, and can review frontend integration code. For full-stack work, we assess the specific requirements separately.
Can they work with an existing codebase?
Yes. We look for engineers who can read unfamiliar code, follow existing patterns, and contribute without rewriting things that work. Greenfield is easier, but most real projects are not greenfield.
What is the notice period to stop?
30 days written notice. We prefer longer engagements but understand business needs change.
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