Hire Golang Developer
Go / Golang Backend | Concurrent, High-Performance Systems
I build Go backends that are fast by design — concurrent request handling, lean memory footprint, and clean error management. REST APIs, gRPC services, CLI tools, and microservices. Go's performance characteristics are leveraged from the start — not bolted on after.
Go is the right hire when Python or Node.js can't meet your throughput or latency requirements, or when you're building a service that runs at the infrastructure level — CLI tooling, a gateway service, a high-concurrency queue consumer, or a gRPC service feeding other microservices. Projects I build in Go: Gin and Echo REST APIs handling thousands of concurrent requests with sub-10ms p99 latency, gRPC services with Protocol Buffer contracts, concurrent background workers using goroutines and channels, and CLI tools built with Cobra. Go's performance advantages are only real when the code is written correctly — I benchmark and profile before claiming anything is 'fast'.
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Let's Talk About Your ProjectTechnical Expertise
7+ years of hands-on experience across the full development stack
Go Performance: What's Real and What's Marketing
Go is genuinely fast. These are the ways to get the actual performance — and avoid the pitfalls.
'It's written in Go so it's fast' without a single benchmark. The bottleneck is the database query. Language choice is irrelevant.
go test -bench for hot paths. pprof CPU and heap profiles for real workloads. Performance claims backed by numbers, not intuition. The database indexed before the Go code is blamed.
Goroutines spawned without a Done signal or context cancellation. They accumulate and the process leaks memory until it OOMs.
Every goroutine launched with a context that can be cancelled. Done channels or WaitGroups for synchronization. goleak used in tests to detect leaked goroutines before they reach production.
if err != nil { _ = err } scattered through the codebase. Errors swallowed at the worst possible layer. Debugging why something failed is impossible.
fmt.Errorf('context: %w', err) wrapping at every layer. errors.Is and errors.As for typed error handling. Structured logging (slog or zap) logs the full error chain with request context.
A goroutine panics. The service restarts. You have no idea what caused it, how often it happens, or what request triggered it.
OpenTelemetry tracing added to HTTP handlers and gRPC interceptors. Structured JSON logs with request ID, trace ID, and error fields. Panics recovered and logged with full stack trace before process exit.
Full-time hiring takes 2–3 months of recruiting, interviews, and notice periods. Your roadmap sits idle.
No recruiting pipeline, no notice period. Reach out today and we can be writing code by end of week.
Account managers relay messages to developers you've never spoken to. Feedback takes days to reach the person building.
You talk directly to me — the person writing every line. Slack, email, or video. No middlemen, no message relay.
Ready to build with Go?
Let's Talk About Your ProjectHow It Works
A straightforward process built for fast starts and transparent delivery.
Tell Me About Your Project
Send the project form with your requirements, timeline, and what success looks like. I respond within 24 hours with questions and a scoping proposal.
Agree on Scope & Rate
We align on deliverables, timeline, and engagement model — hourly, fixed-price, or retainer. A signed agreement before any code is written.
Go Module Setup + Proto or OpenAPI Contract
Go module initialized with golangci-lint, Makefile targets for build/test/lint. gRPC proto files or OpenAPI spec agreed and generated before any handler code. Docker multi-stage build configured.
Handler-by-Handler with Table-Driven Tests
Each handler or gRPC method built with table-driven tests covering success, validation error, and upstream failure cases. go test -race run in CI to catch data races before production.
Delivery: Benchmarked + Observable
go test -bench results documented. pprof profile for the most common request path. OpenTelemetry traces verified in staging. Docker image size minimized with multi-stage build (typically under 20MB).
Transparent process, no surprises, no scope creep without discussion.
Code, IP, repository, deployment credentials — all yours from day one.
Daily or weekly async updates. You always know what's built, what's next, what's blocked.
Common Questions
How quickly can I start?
Within 24–48 hours after scope is agreed.
How do we communicate?
Directly — Slack, email, or video. No account managers or relay chains.
What if requirements change?
Changes discussed openly — scope and timeline impact agreed before proceeding.
Who owns the code?
You do. Full IP ownership transferred on delivery. No strings attached.
Ready to move past the hiring bottleneck?
Let's Talk About Your ProjectRecommendations
I start every project with a quick discovery call to understand your goals and recommend the best tech solution. Here’s what clients and coworkers say about working with me as a Python Django developer.
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Pricing & Rates
Transparent, flexible pricing that scales with your project complexity and needs
What Affects Service Rate
Project Complexity
Simple REST APIs differ from high-concurrency systems or gRPC microservice meshes.
Technical Responsibility
Architecting systems costs more than executing well-defined tasks.
Time Commitment
Long-term engagements (retainers) may have different rates than hourly work.
Team Scaling
Managing additional developers or handling team coordination increases cost.
Ongoing Support
Maintenance, monitoring, and continuous improvements have different pricing models.
Engagement Models
Perfect for smaller projects or when scope isn't fully defined. You pay only for time spent.
Clear scope, defined deliverables, and fixed price. Great when you know exactly what you need.
Ongoing monthly commitment for continuous work, maintenance, or on-call support.
Pricing is always discussed upfront and aligned with scope. You'll know exactly what you're paying for and why.
Pricing Questions
Can I get a discount for longer engagements?
Yes. Retainer arrangements typically have lower rates than hourly work.
Do you offer fixed-price projects?
Absolutely. If your project scope is clear and defined, I can agree on a fixed price upfront.
What if scope changes mid-project?
We discuss and adjust transparently. Changes are tracked and impact calculated before proceeding.
Do rates go up for more complex work?
Yes. High-concurrency systems, gRPC, or distributed architectures command higher rates.
Do you offer payment plans?
We can discuss flexible payment schedules aligned with project milestones.
How do you determine the final rate?
During our initial conversation, I'll understand your project scope and needs, then we'll agree on pricing together.