Vetted Node.js and Python backend engineers for APIs, microservices, event-driven systems, and data platforms — production reliability from day one.
Every engineer we place has run backends against real load — with observability, error budgets, and a habit of writing runbooks.
REST, GraphQL, and tRPC APIs in Node with NestJS or Fastify — with typed contracts and clean domain boundaries.
FastAPI and Django services with typed pydantic models, real testing, and Celery or RQ where async work needs a queue.
Kafka, NATS, and RabbitMQ pipelines with idempotent consumers, retry policies, and dead-letter handling built in.
Airflow, Dagster, and dbt pipelines feeding Postgres, Snowflake, and BigQuery — with data-quality checks in the DAG.
Stripe, PayPal, and ACH integrations with idempotency keys, dispute handling, and reconciliation you can audit.
OpenTelemetry, Prometheus, and structured logging wired in from the first commit — not retrofitted after a bad incident.
The tools our engineers are fluent in — deployed to production, not just installed once.
The services our engineers have delivered against real load, real regulatory scrutiny, and real 3am pagers.
Backends with tenant isolation, quota enforcement, plan-based feature gating, and clean upgrade paths.
Stripe-shaped billing services with proration, dunning, invoice generation, and reconciliation against ledgers.
Batch and streaming pipelines that land, validate, and transform data with observability the data team trusts.
Webhooks, OAuth flows, and API adapters for Salesforce, HubSpot, NetSuite, and long-tail SaaS partners.
WebSocket and SSE backends for chat, presence, and live updates — with backpressure and reconnect built in.
Auditable admin services with role-based access, action logging, and safe self-service tooling for support teams.
A tight four-step flow — no résumé shopping, no vendor friction, engineers shipping services within a week.
A 45-minute call with our engineering lead to scope skills, seniority, tooling, and the specific services the hire will own.
Two or three matched engineer profiles delivered within 48 hours, each with recent backend work you can review.
Interview shortlisted engineers directly — API design, database modeling, or a debugging exercise on production-shaped code.
Selected engineer joins your Slack, repos, and standups. Contract, invoicing, and onboarding handled by us.
Backend hiring is slow and expensive. Ours starts moving your services this week.
Our engineers have carried pagers and written the runbooks. They ship services with observability, not just endpoints.
Every engineer we place has shipped production backends. No juniors billed as seniors, no résumé inflation.
A new engineer contributing to services within the first week — no month-long ramp before real backend work starts.
All code, IaC, and runbooks live in your repositories. Your team owns and operates what we build together.
A production AI system with real load and real data, delivered by the same bench you would be hiring from.
AI • RAG
A retrieval-augmented support copilot that grounds answers in a company's own knowledge base.
Read Case Study →A senior bench, direct engagement, and a delivery track record that other backend hiring channels don't match.
Learn more about us →Our engineers have carried pagers, written the runbooks, and owned services with SLOs — not just built REST endpoints.
You interview, choose, and work with the engineers themselves. No layers of account management or handoffs.
We test for API design, data modeling, and failure-mode thinking — not just whether they can write a for-loop.
Code, IaC, dashboards, and runbooks stay in your repos. Your team is set up to operate the services after we roll off.
Practical answers on seniority, engagement, timelines, and how our engineers plug into your team.
Tell us the service and the stack. We'll come back with a shortlist within 48 hours.
Book a Consultation →