Core engineering
Hire Backend Engineers
Engineers who design service contracts carefully, handle concurrency correctly, and instrument everything they ship.
A backend engineer designs and operates the services behind your product: data models, APIs, background work and the reliability that holds them together. Hire one when correctness, throughput or data integrity is the constraint. Expect $65 to $150 per hour depending on seniority and system scale.
What this role actually does
Most backend failures are not exotic. They are a missing index, an unbounded query, a retry that was not idempotent, a connection pool sized by guesswork, or a background job with no dead-letter path. Experienced backend engineers are valuable largely because they have already been paged for each of these and have internalised the defences.
The other half of the job is contract design. An API is a promise that other teams build on, and a poorly shaped one becomes permanent very quickly. Good backend engineers spend real effort on that shape before anything is implemented.
Core skills to look for
- Python with FastAPI, or Go, with genuine async and concurrency understanding
- Relational modelling, indexing and query planning in Postgres
- Redis for caching, rate limiting, queues and coordination
- API contract design, versioning and backward compatibility
- Idempotency, exactly-once semantics and failure recovery
- Observability: structured logs, metrics, distributed tracing
- Performance work grounded in profiling rather than intuition
When you need to hire this role
- Latency or throughput has become a product problem
- Data integrity issues are appearing under concurrent load
- Your API is hard to change because too much depends on its current shape
- Background jobs fail silently and nobody finds out for days
- You need someone accountable for the service layer rather than a generalist
How to assess candidates for this role
Ask about a production incident they caused
The willingness to answer honestly is itself a signal, and the technical detail tells you how deep their ownership really went.
Test data modelling
Give an ambiguous domain and ask for a schema plus the queries it must serve. Watch for indexing and access-pattern reasoning.
Probe idempotency
Ask how they would make a payment webhook safe to retry. This single question separates careful backend engineers from the rest.
Check performance method
Ask how they would approach a slow endpoint. Strong answers start with measurement; weak answers start with caching.
Typical rate bands
| Level | Experience | Typical rate | What they own |
|---|---|---|---|
| Mid-level | 3-5 years | $65-95/hr | Owns services and endpoints within established patterns |
| Senior | 6-9 years | $95-125/hr | Owns service architecture, contracts and reliability targets |
| Staff / Principal | 10+ years | $125-150/hr | Designs multi-service architecture and org-wide standards |
Frequently asked questions
What does a backend engineer do?
They design and operate the services behind a product: data models, APIs, background processing, caching and the observability that makes failures diagnosable. The work is judged on correctness, throughput and how easy the system is to change safely.
Which backend language should we hire for?
Hire for the language your team already operates, unless you have a specific reason to change. Python with FastAPI and Go both cover the majority of commercial workloads well; engineering judgement transfers between them far more than syntax does.
How do we evaluate backend candidates without a take-home exercise?
Use a structured discussion of a real system they built, plus a design problem in your own domain. Ask about failure modes, idempotency and indexing — the answers are hard to fake and reveal actual production experience.
How much does a backend engineer cost?
Typical vetted contract rates are $65 to $95 per hour at mid-level, $95 to $125 at senior and $125 to $150 for staff and principal, depending on region and system complexity.
Do backend engineers need cloud and infrastructure skills?
Enough to deploy, observe and debug their own services. Deep infrastructure work is a platform engineering role, but a backend engineer who cannot read their own traces will be slow to diagnose anything.