Python or Node.js API performance hitting limits under real traffic?
Need Go engineers who understand concurrency patterns, not just goroutine syntax?
Go engineers who build high-performance backends -- concurrent APIs, microservices, data pipelines, and CLI tools -- that handle load without adding server cost.
Go engineers with microservices, API platform, and infrastructure tool experience
Flexible engagement -- part-time, full-time, or dedicated team
Start in days. Fixed cost or monthly retainer.
We work with engineering teams choosing Go for performance, scalability, and operational simplicity.
Go's concurrency model and low memory footprint make it the right choice when your API needs to handle thousands of concurrent connections without vertical scaling. We build Go APIs that handle production traffic without expensive infrastructure.
Transaction processing, data pipelines, and real-time systems where latency and throughput matter. We build Go backends for teams where performance is a business requirement, not a nice-to-have.
Go is the language of Kubernetes, Docker, and most modern infrastructure tooling. We build CLI tools, automation scripts, and internal platform services in Go for engineering teams who need them.
When Python or Node.js performance is no longer sufficient, Go is the common migration target. We handle Go rewrites strategically -- identifying which services to migrate first for maximum impact.
High-performance REST and gRPC services built in Go. Proper error handling, structured logging, request tracing, and graceful shutdown -- production-ready from the first deployment, not after six months of patching.
Goroutine-based concurrent processing pipelines for high-volume data workloads. Event processing, stream ingestion, batch jobs, and real-time data transformation -- Go's concurrency primitives used correctly.
CLI tools, background workers, deployment automation, and internal platform services built in Go. Statically compiled binaries that ship as single files, deploy anywhere, and start in milliseconds.
Protocol buffer-defined service interfaces, gRPC server implementation, and client generation for service-to-service communication in microservices architectures. Strongly typed, efficient, and designed for inter-service reliability.
Profiling and optimising existing Go services -- memory allocation reduction, goroutine leak detection, database query optimisation, and connection pool tuning. We find the actual bottlenecks, not just the obvious ones.
Phased migration of high-traffic services from Python, Ruby, or Node.js to Go. We identify which services deliver the most performance improvement per migration effort and plan the transition without disrupting production.
High-performance backend engineers, flexible engagement, full source code ownership.
Our Go engineers have built services handling real production traffic. They understand goroutine lifecycle, channel patterns, interface composition, and Go's memory model -- not just how to write functions.
Part-time for a specific Go service, full-time for a Go platform build, or a dedicated team for a full microservices migration. Engagement model matches your actual project needs.
We build Go services with operations in mind -- structured logging, Prometheus metrics, health check endpoints, Docker-ready Dockerfiles, and Kubernetes manifests when needed. Code that's easy to deploy and debug.
Daily standups, sprint reviews, and weekly summaries. You see the progress in running code, not status updates.
English-proficient engineers working in your timezone or with meaningful overlap. Your tools -- Slack, Jira, or Asana.
We write Go the way Go is meant to be written -- small interfaces, explicit error handling, minimal dependencies, and code that any Go engineer can read and maintain without a tribal knowledge session.
For a specific Go service or performance-critical component alongside your existing team.
For sustained Go platform development or a microservices migration programme.
A full Go engineering team for large-scale platform builds or multi-service migrations.
A production-ready Go microservice or API -- with tests, logging, and deployment configuration.
Multiple Go services with inter-service communication, shared libraries, and full deployment infrastructure.
Full legacy migration to Go, high-availability distributed systems, or complex infrastructure platform builds.
Tell us the service, the load requirements, and the timeline. We'll match you with the right Go engineers.
A 30-minute call to understand your architecture, current performance bottlenecks, and what Go can actually improve.
A clear proposal with team composition, timeline, and fixed or retainer cost -- before any commitment.
Engineers onboard in days. First sprint planned. First Go service running within the first two weeks.
Senior Go engineers available in days. Fixed cost or monthly retainer. Full source code ownership.
Frequently Asked Questions
Go is the right choice when you need predictable, low-latency performance at scale with minimal infrastructure cost -- high-concurrency APIs, data processing pipelines, or real-time systems. Node.js is often faster to prototype with and has a larger ecosystem for general-purpose APIs. Python is better for data science workloads. The choice depends on your actual performance requirements, not a preference for one language over another. We help you make that call based on your specific load profile.
Yes. Most Go migrations happen service by service, not all at once. We build new Go services that integrate with your existing Python or Node.js services via REST or gRPC, while your existing team continues to own the other services. The transition is gradual and doesn't require your whole team to learn Go at once.
Go compiles to single static binaries that deploy to any Linux server, container, or serverless environment without a runtime. We typically containerise Go services with Docker and deploy to Kubernetes, AWS ECS, or serverless platforms depending on your infrastructure. We handle the Dockerfile, Kubernetes manifests, and CI/CD pipeline configuration as part of the service delivery.
Yes. We write table-driven unit tests, integration tests for API endpoints, and benchmarks for performance-critical code paths. Go's testing package is built-in and straightforward -- there's no excuse for skipping it. Test coverage is part of what we deliver, not an optional extra.