Go (Golang)
Engineering.
Go is the language of the cloud. We build high-performance network services, custom Kubernetes controllers, and low-latency APIs that scale effortlessly.
Concurrency Without the Footguns
Go's goroutines make concurrency cheap to write and easy to get subtly wrong. An unbounded goroutine spawn under load, a missing context cancellation, a channel that blocks forever: these are the usual causes behind 'services that need constant restarting.' We design around explicit concurrency limits, propagated context cancellation, and load-tested backpressure, not 'go func() and hope.'
Worker pools with bounded concurrency instead of unbounded goroutine-per-request spawning, so a traffic spike degrades gracefully instead of exhausting memory.
context.Context cancellation propagated through every call chain, so a client disconnect or timeout actually stops downstream work instead of leaking it.
pprof-driven profiling as a standard part of the release process, catching goroutine leaks and allocation hotspots before they reach production.
Graceful shutdown wired to SIGTERM with a drain period, so a rolling deploy doesn't drop in-flight requests.
What we build
High-Performance APIs
Replacing sluggish legacy microservices with Go binaries designed around bounded concurrency and explicit backpressure, load-tested against real traffic patterns.
Platform Tooling
Building custom CLI tools and internal developer platforms where Go's fast startup and single-binary distribution beat a heavier runtime.
Kubernetes Operators
Extending the Kubernetes API with custom controllers written in Go, following the controller-runtime reconciliation pattern rather than ad-hoc polling loops.
Profiling & Performance Debugging
Diagnosing goroutine leaks, GC pressure, and allocation hotspots with pprof and continuous profiling, turning 'it's slow' into a specific, fixable root cause.
What we fix
Services that consume massive memory and require constant restarting due to goroutine or connection leaks
Lack of concurrency handling leading to API timeouts under load, or unbounded goroutine spawning that exhausts memory
Difficult deployment pipelines requiring heavy runtimes, when a single static binary would do
Off-the-shelf tooling failing to meet specific internal requirements
Missing context cancellation, causing downstream work to continue after a client has already disconnected
Rolling deploys that drop in-flight requests because shutdown isn't wired to drain before terminating
Stop guessing.
Start shipping.
Thirty minutes with a senior engineer. No sales deck, no junior SDRs. Just a technical conversation about what's actually breaking or slowing you down.