Backend
Hire Go Developers
Go engineers who use the language where it wins — throughput, concurrency and small deployable binaries.
Go earns its place at the edges of a system where cost and predictability matter — ingestion services, webhooks and event consumers, CLI tooling, anything that has to handle a lot of concurrent connections on modest hardware. A single static binary in a small container is also a meaningfully simpler thing to deploy and to secure.
When hiring, ask how a candidate stops a goroutine. That one question separates people who have run Go in production from people who have read about channels, because leaked goroutines and missing context cancellation are the failure mode that appears weeks after launch. Then ask what they chose not to abstract, since restraint is the skill this language actually rewards.
What these engineers do
- Idiomatic Go with contexts, wrapped errors and generics used sparingly
- Concurrency patterns, goroutine lifecycle management and the race detector in CI
- HTTP and gRPC services on chi or the standard library router
- PostgreSQL access with pgx and sqlc, keeping generated types instead of an ORM
- Profiling with pprof, and small containers that start fast and scale cheaply
Delivered AI-first
AI assistance is used for the boilerplate Go deliberately does not hide - handler and middleware scaffolding, table-driven tests, mocks from an interface, protobuf service stubs and repetitive error wrapping. Concurrency is written by hand, because a goroutine leak or a subtly wrong context cancellation is easy to generate and hard to see in review; the race detector runs on every build regardless. Review discipline is unchanged. The measurable effect is throughput per engineer, not fewer reviews.