Concurrent request handling
Designs goroutine lifecycles so every one started has a clear way to stop, and uses channels, sync primitives or errgroup depending on the shape of the work.
Hire · Backend
Senior Go engineers who join your team to own network services, workers and command-line tools where latency and resource use matter. Each has fixed a goroutine leak and profiled a hot path with pprof in a paid exercise before we put them forward.
Paid concurrency and profiling exercise
Senior and lead levels only
Fits your services, CI and on-call
On your team
Designs goroutine lifecycles so every one started has a clear way to stop, and uses channels, sync primitives or errgroup depending on the shape of the work.
Threads context.Context through every call that does I/O, sets deadlines at the edge and makes sure downstream calls stop when a client disconnects.
Profiles CPU, heap and blocking with pprof, cuts allocations on hot paths and keeps tail latency predictable under load.
Builds services with net/http or gRPC, defines protobuf contracts carefully and handles backpressure and retries between services.
Produces single static binaries in minimal container images, with build flags and version info baked in at compile time.
Starting goroutines in Go is trivial; stopping them correctly is not. The engineers worth hiring can tell you how every goroutine in their service ends, what happens to in-flight work on shutdown and how a cancelled request stops its downstream calls. Ask about the last leak they found and how they spotted it.
Listen for context.Context used everywhere I/O happens, errgroup for coordinated fan-out, and a habit of running tests with the race detector switched on.
Vetting
Spots leaks from unbuffered sends nobody reads, uses the race detector routinely and knows when a mutex is simpler than a channel.
Wraps errors with %w, checks them with errors.Is and errors.As, and returns useful context instead of logging and continuing.
Defines small interfaces where they are consumed, avoids premature abstraction and keeps packages focused.
Writes testing.B benchmarks, reads pprof flame graphs and checks escape analysis output when allocations matter.
Uses type parameters where they remove real duplication in containers or helpers, not as a habit.
Subtests, test helpers, httptest servers and fakes behind interfaces instead of heavy mocking frameworks.
Work sample
The candidate is given a worker pool whose goroutine count climbs forever, finds the blocked send and fixes shutdown so everything exits.
They add a request deadline to a handler that fans out to three slow dependencies, ensuring all calls stop once the client goes away. Paid at an agreed rate.
Using pprof output and a benchmark, they reduce allocations in a JSON-heavy function and show the numbers before and after.
A short conversation where they explain to a product owner why they picked channels or a mutex in their solution.
Levels
Owns handlers, workers and packages within your existing service layout and reviews colleagues’ concurrency code.
Sets package layout, error conventions, observability standards and how services communicate and fail.
Designs for throughput across many services: queues, sharding, rate limits, consistency trade-offs and capacity planning.
A senior engineer adds steady capacity to services that already have conventions for errors, logging and package layout. If each service looks different, a lead will align them. When your challenge is throughput across many services, with queues, partitioning and failure between them, hire for distributed systems experience.
Other options
If the work is forms, admin screens and business rules rather than throughput, Django gives you more out of the box.
Open registerWhere your existing services, libraries and teams are on Spring Boot, a Java developer will integrate faster.
Open registerIf sharing types and people with a web team matters more than raw performance, a Node.js developer fits.
Open registerGo teams are often hired for performance, so we check that candidates measure. The exercise hands them a pprof profile and a benchmark and asks for a faster function with evidence. Someone who rewrites code without looking at the profile first rarely helps a latency problem.
Begin with a change that reaches production through your normal pipeline and shows up in your metrics. Next, hand over one service to own, including its dashboards and alerts.
Ask the new engineer to profile that service once under realistic load and share what they find. Even healthy services usually reveal an allocation or lock worth a second look.
FAQ
Go suits services that hold many concurrent connections, need predictable latency, or must ship as one small binary, such as gateways, workers and infrastructure tools. For admin-heavy business software, a batteries-included framework is usually quicker.
With code rather than questions. Candidates fix a real goroutine leak, add context cancellation across fan-out calls and profile an allocation-heavy function with pprof, all in a paid exercise.
Usually after a handful of production deploys, when your dashboards and runbooks are familiar. Senior Go engineers are used to reading traces and pprof output from production, which makes them useful during incidents.
Works alongside
Go services are often the backbone of infrastructure; pairing helps with Kubernetes probes, autoscaling and tracing.
Open registerFor networking, load balancers and managed queues that sit around high-throughput Go services.
Open registerTo build load and soak tests that prove latency targets hold before a release.
Open registerProduct delivery
Primary sources
Dated official documentation, standards, and research that support the factual claims on this page.
Official guide to profiling, tracing and debugging Go programs.
Standard library reference for deadlines, cancellation and request-scoped values.
How to read this page
Scope, cost and timeline figures are planning guidance until confirmed in a written proposal. Diagrams and screens are illustrations, not client deliverables, and source-code rights and handover follow the signed agreement. See the delivery process and the full disclaimer.
Next decision
Define outcomes, constraints, evidence, rights and handover before delivery begins.
Commercial rights, repositories, environments, documentation, acceptance and handover remain contract-defined.