Build with Go experts
Go is our pick for backend services that need to be quick and dependable, concurrent by nature, cloud-native, and refreshingly simple to run, whether that's APIs and microservices or CLI and platform tooling.
This is for teams building or scaling a backend on Go, whether that's a new API-first product, a service under real load, or an existing Go codebase that needs a steadier footing.
Custom Go Development Services
We build Go applications that drop into the architecture and data models you already run, rather than fighting them. Backend reliability, clean service boundaries, and systems that scale without a rewrite are what we optimise for, so delivery stays quick and the platform keeps extending confidently as the roadmap moves.
API and Microservices Development
Most enterprise services that fall over do so for the same few reasons, sloppy contracts, uneven performance, security left as an afterthought. Our Go APIs and microservices head that off with contract-first development in OpenAPI and Protobufs across REST and gRPC, giving you secure, low-latency endpoints that stay easy to maintain and safe to evolve.
How we help
We agree the contract first, wire in auth and validation, and ship endpoints in reviewable increments with tests, docs, and monitoring from the start.
Most enterprise services that fall over do so for the same few reasons, sloppy contracts, uneven performance, security left as an afterthought. Our Go APIs and microservices head that off with contract-first development in OpenAPI and Protobufs across REST and gRPC, giving you secure, low-latency endpoints that stay easy to maintain and safe to evolve.
How we help
We agree the contract first, wire in auth and validation, and ship endpoints in reviewable increments with tests, docs, and monitoring from the start.
Multi-region traffic, intricate deployments, and service-mesh policy on Kubernetes add up to a lot of operational weight. Our cloud-native Go backends cut through it, containerised applications, infrastructure codified for repeatable CI/CD, and autoscaling instrumented in, leaving you a resilient, scalable platform whose costs you can actually predict.
How we help
We containerise workloads, define infrastructure as code, and set up autoscaling and zero-downtime rollouts so the platform stays stable under load.
In event-driven systems, unhandled backpressure and non-idempotent processing are how data quietly goes missing or corrupt. We build resilient Go systems on Kafka, Pub/Sub, and Kinesis that assume failure will happen, retry strategies, dead-letter queues, end-to-end observability, so the pipelines behind your critical workflows stay trustworthy.
How we help
We map event contracts up front, make processing idempotent, and design retries, DLQs, and back-pressure deliberately rather than discovering them in production.
Networking performance usually dies in the details, connection handling, buffer management, TLS handshakes. We engineer low-latency Go components like reverse proxies and custom gateways that get those details right, tuning the network stack and the Go runtime and securing traffic with mTLS, for high-throughput services whose tail latencies stay consistent.
How we help
We profile the hot paths, tune connection and buffer handling, and verify tail latency against realistic load so gains hold in production.
Stale Go versions and unmanaged dependencies open security holes and gum up feature work. We bring legacy Go services up to current releases without derailing your roadmap, a phased approach with feature flags and parity testing behind a safe cutover. Hand back a secure, supportable stack your team can keep evolving.
How we help
We phase the upgrade behind feature flags with parity testing, keep the service shippable throughout, and return a secure, supported stack.
Off-the-shelf tooling rarely bends to the exact policies and workflows your infrastructure runs on, and the gap fills up with manual toil and configuration drift. We write the custom tools, Kubernetes operators, and controllers in Go that packaged products can't, automating cloud-native management and holding operations to consistent, policy-driven rules at scale.
How we help
We build operators and controllers around your real workflows and express policy as code so operations stay consistent as the platform scales.
Generic ETL tools get slow and stubborn the moment the data sources or transformations get unusual. We build lightweight, high-performance Go applications for batch processing and transformation, custom integrations to third-party sources included, cost-effective, scalable pipelines ready to feed your machine learning and analytics work.
How we help
We build streaming and batch pipelines tuned for throughput, version transformations, and add observability so data flows stay reliable.
Building for constrained devices usually means choosing between C++'s complexity and an interpreted language's overhead. Go's concurrency model, cross-compilation, and automatic memory management let us sidestep that dilemma, efficient code for IoT and embedded hardware that's reliable, small in footprint, and far easier to maintain across a spread of architectures.
How we help
We rely on Go's cross-compilation and concurrency model with disciplined resource budgets so the same core runs reliably across device architectures.
Go experts, AI-augmented
These are the AI coding tools our engineers use to ship faster and keep code clean, distinct from the AI systems we design and build for you.
We use these tools inside strict guardrails, every line is reviewed by a person. See how we build →
Senior Go engineers
Senior engineers with deep, hands-on Go experience building production systems at scale.
Proven across industries
Our Go teams have delivered backend work across healthcare, finance, retail, and logistics, bringing domain awareness and hard-won patterns to every engagement.
Enterprise-ready delivery
We hold high standards for security, testing, and documentation, and can scale a Go team up or down without sacrificing speed or quality.
The Go toolset
The Go tooling we rely on, grouped by what it does, and chosen deliberately from experience. Pick an area to see what we reach for and why.
We reach for the standard library first and bring in lightweight frameworks only where they add clarity. Our build is reproducible and deterministic, so what CI tests is exactly what runs in production.
We reach for the standard library first and bring in lightweight frameworks only where they add clarity. Our build is reproducible and deterministic, so what CI tests is exactly what runs in production.
We hold to disciplined patterns for concurrency and dependency management so services stay maintainable as they scale, heading off the usual traps like goroutine leaks and race conditions.
We pick persistence tools from the workload, balancing developer productivity against performance and control, and keep data-access patterns efficient with migrations versioned and repeatable.
We design messaging and streaming systems to be resilient and fault-tolerant by default, engineering for the failure modes, backpressure, poison messages, so event-driven pipelines stay durable and auditable.
Our approach to edge networking puts security, performance, and clear observability first across all ingress, a defensible perimeter with consistent auth policies and low tail latencies.
We instrument Go applications with thorough telemetry from the first commit, so metrics, logs, and traces are standardised and correlated. Teams can diagnose issues quickly and manage to their SLOs.
We build quality assurance straight into the workflow with automated validation at every stage, static analysis, unit tests, and performance benchmarks in CI catching regressions early.
We treat infrastructure as code so every environment is repeatable and consistent, feeding fully automated CI/CD pipelines that build hermetic container images and deploy predictably.
We build security and compliance controls straight into the toolchain, automating vulnerability scanning, secrets management, and evidence collection, so the delivery pipeline stays audit-ready by default.
Our performance analysis centres on the standard Go toolchain, we profile early and keep garbage-collection work predictable under load.
How you'd work with us on Go
Pick the level of ownership that suits you. We shape the engagement around your goals.
Staff augmentation
Add senior Go engineers to a team you already have.
Dedicated team
A committed Go team that runs like your own.
Full delivery
Hand over the build and we deliver it end to end.
Go FAQ
Unsure which stack suits your build?
Tell us what you're building, and we'll help you pick and build with the right stack.