Hire a Go Development Team That Ships Reliable Platforms
Build high-performance backend systems with a dedicated Go development team that behaves like an in-house squad. We assemble seasoned Golang engineers, DevOps specialists, QA, and product-minded leads who have shipped production platforms for fintech, logistics, health, and SaaS companies across North and Latin America.
You get people who obsess over response times, error budgets, and customer impact. Our teams are comfortable pairing with your engineers, presenting to stakeholders, and explaining trade-offs in plain language. When we say Go experts, we mean engineers who understand concurrency design, observability, and the realities of maintaining long-lived services—not just the syntax.
If you need additional support around architecture or mentoring your existing developers, we can pair your squad with a Go fractional CTO or tech lead to help you own the roadmap, not just the backlog.
- Flexible models: launch with 2–3 engineers and scale to a full pod, staying aligned with your sprint cadence.
- Transparent collaboration: daily standups, async Loom updates, and shared dashboards keep everyone in the loop.
- Outcome-driven: we plan work around measurable goals—latency targets, uptime commitments, compliance requirements, or release milestones.
What you can expect in the first 90 days
We form autonomous pods that own discovery, delivery, and quality. Depending on your starting point, the first quarter often includes re-architecting APIs for throughput, introducing observability, or unlocking faster release cadences.
- Day 0–10: joint backlog refinement, architecture deep-dive, and a readiness report that surfaces risks and quick wins.
- Day 30: production-grade CI/CD pipeline, load testing baseline, and a shared dashboard for SLA/SLO tracking.
- Day 60: prioritized roadmap with delivery forecasts plus the first major feature or modernization milestone delivered.
- Day 90: measurable impact—reduced response time, higher release frequency, or new revenue-driving feature live.
Recent engagement highlights
- Cut p99 latency from 820ms to 180ms for an event-driven billing platform.
- Migrated 40+ services into a GitOps pipeline with zero downtime.
- Implemented domain-driven design and paved the way for self-service onboarding.
Our approach is rooted in industry best practices recommended by the Effective Go guidelines and communities like the gRPC engineering blog.
Why hire a dedicated Go development team?
Hiring vetted Golang squads lets you skip the recruiting queue and plug into people who have already solved the problems in front of you. Go is built for concurrent workloads and distributed systems, but getting those investments right takes practice. We bring that muscle memory to your product.
Deep expertise on demand
Senior engineers who know how to apply goroutines, channels, and worker pools responsibly, crafting resilient APIs and microservices that stay fast under load.
Full-time focus
Dedicated pods embedded in your rituals—pairing sessions, backlog grooming, stakeholder demos—working exclusively on your domain without juggling other clients.
Scalable collaboration
We start small and scale as delivery proves out. Nearshore overlap keeps collaboration smooth, while asynchronous updates maintain momentum across time zones.
Built-in leadership
Hands-on tech leads and staff-level engineers mentor the team, keep architecture coherent, enforce code-quality gates, and guide security reviews.
Tooling we integrate with: GitHub/GitLab, Jira, Linear, Datadog, New Relic, Honeycomb, Sentry, PagerDuty, LaunchDarkly, and your in-house observability stack.
Human-first partnership
We value honest communication and trust-building. Expect weekly recaps that explain trade-offs, highlight risks early, and celebrate the wins that matter to your business stakeholders.
Technologies and frameworks we provide
Go frameworks and libraries
- Gin (HTTP web framework)
- Echo (high-performance web framework)
- Fiber (Express-inspired framework)
- Gorilla/mux (HTTP router)
- Chi (lightweight router)
- Standard library (net/http, context, sync)
Microservices and APIs
- gRPC (high-performance RPC framework)
- REST APIs (JSON, GraphQL)
- WebSocket support
- API gateway patterns
- Service mesh integration (Istio, Linkerd)
- API versioning and documentation
Database and data access
- GORM (ORM for Go)
- sqlx (database driver extensions)
- PostgreSQL, MySQL, MongoDB drivers
- Redis for caching
- Database migrations
- Connection pooling
Cloud and deployment
- AWS (Lambda, ECS, EC2, RDS)
- Google Cloud Platform (Cloud Run, GKE)
- Azure (Functions, AKS, App Service)
- Docker and containerization
- Kubernetes orchestration
- CI/CD pipelines (GitHub Actions, GitLab CI)
Team composition
- Backend Go engineers (mid to senior)
- DevOps engineers for infrastructure
- Tech leads for architecture and code reviews
- Performance optimization specialists
Case study: Fleet logistics platform
One of our US clients, FleetPulse, needed to modernize a monolithic PHP system that handled 25k+ delivery routes per day. We spun up a dedicated Go squad with four backend engineers, one DevOps lead, and a product designer embedded with their operations team.
- Timeline: 14 weeks from onboarding to full production rollout.
- Key deliverable: Event-driven pricing engine built with Go, Kafka, and gRPC delivering sub-200ms decisions.
- Impact: 37% faster dispatch planning, 22% reduction in carrier disputes, and new premium-tier revenue launched in week 12.
Read more stories of how we partner with product and engineering leaders in our case studies hub.
“Siblings Software felt like an extension of our core team. They were the first partner to quantify the ROI of architecture decisions in a way our leadership could rally behind.”
— Maya Patel, VP of Product, FleetPulse
Services included modernization roadmap, gRPC service design, automated canary deployments, and on-call runbooks tailored to their SRE expectations.
How dedicated teams work
We run a discovery-led engagement focused on clarity and momentum. Your product managers stay in control, while we provide the senior technical leadership and delivery horsepower.
- Discovery: align on outcomes, architecture, stack, and skills needed. We co-create a delivery charter that spells out risks, metrics, and communication preferences.
- Team assembly: you meet the pre-vetted engineers we shortlist (typically 3–5 per role) and select the people who fit your culture and problem space.
- Onboarding: the squad joins your repositories, tooling, and rituals. We document integration steps, create runbooks, and ensure knowledge transfer from day one.
- Integration: daily standups, async updates, and weekly demos keep stakeholders aligned. We champion healthy engineering practices—code reviews, ADRs, observability.
- Delivery: we run sprints focused on measurable goals such as launch-readiness, latency reduction, or data accuracy, with a shared scorecard to track progress.
- Scaling: extend or rotate specialists as priorities evolve. We maintain continuity with shadow pairing, succession plans, and documented playbooks.
Collaboration rhythms
- Monday: planning sync with your product owner.
- Wednesday: async loom update covering milestones, blockers, metrics.
- Friday: demo and retrospective with stakeholders.
We adapt to your environment—GitHub Projects, Linear, Jira, Shortcut, Notion, or Confluence—and keep decision logs accessible for future reference.
What sets our Go development teams apart
Production-ready code. Teams write APIs that scale, services that perform, and systems that stay reliable. Strong error handling, logging, monitoring, and observability built in from day one.
Concurrency expertise. Understanding not just how to use goroutines and channels, but when to use them, how to avoid race conditions, and how to build concurrent systems that actually scale.
Performance-first mindset. Tech leads shape decisions around response times, throughput, memory usage, and resource efficiency. They understand that fast backend systems aren't an accident—they're intentional.
Clear communication. Daily standups, weekly demos, written architecture docs, and transparent sprint reports—no surprises, just steady progress you can track.
Concurrency and parallelism
Goroutines, channels, worker pools, and synchronization primitives. Our teams know how to leverage Go's concurrency model to build systems that handle thousands of requests efficiently without overwhelming server resources.
Performance optimization
We profile early, optimize hot paths, minimize allocations, and test under load to avoid surprises in production. Our teams understand that Go performance isn't just about speed—it's about efficient resource usage, low latency, and staying fast as traffic grows.
Microservices architecture
Service boundaries, inter-service communication, distributed tracing, and service discovery. Our teams build microservices that are maintainable, testable, and scalable—not just services that happen to be small.
Error handling and resilience
Explicit error handling, graceful degradation, circuit breakers, and retry strategies. Our teams understand that backend systems fail—and they build systems that fail gracefully, recover quickly, and maintain uptime when things go wrong.
Observability and monitoring
Structured logging, metrics collection, distributed tracing, and alerting. Our teams build systems you can monitor, debug, and understand—not black boxes that mysteriously slow down or fail.
Go use cases we tackle regularly
Every engagement is different, but these scenarios give you a sense of the problems our Golang teams excel at solving.
Usage-based billing platforms
Designing pricing engines, invoice generators, and reconciliation jobs that process millions of events per hour with strong consistency guarantees.
Real-time data pipelines
Building stream processors with Kafka, NATS, or Google Pub/Sub, wiring in schema registries, and exposing analytics-ready datasets to BI tools.
API modernization
Refactoring legacy REST services into modular gRPC or GraphQL endpoints, with auth hardening, rate limiting, and backward-compatible rollouts.
IoT and telemetry processing
Handling high-throughput device data, edge buffering, and fleet management dashboards with strong observability baked in.
Platform resilience initiatives
Chaos testing, graceful degradation, and circuit breakers that keep critical customer journeys up even when dependencies falter.
Security and compliance sprints
Preparing for SOC 2, HIPAA, or PCI audits by aligning logging, audit trails, and incident response with compliance checklists.
Curious whether we have solved a challenge like yours? Share your context and we will connect you with the lead engineer who shipped a similar feature or platform update.
OUR STANDARDS
Go applications that perform and scale.
Every Go developer we place understands the language's strengths and how to leverage them effectively. They write clean, idiomatic Go code following best practices, understand goroutines and channels for concurrency, and build systems that handle high traffic efficiently. They know how to avoid race conditions, optimize memory allocations, and profile performance to ensure applications scale.
Performance matters in Go applications. Our developers profile regularly with pprof, optimize hot paths, minimize allocations, and test under load. They understand Go's concurrency model, use channels effectively, and build systems that stay fast as traffic grows. They know how to handle errors explicitly, write tests that catch regressions, and ensure code quality throughout the development lifecycle. They're not just writing Go code—they're building backend systems that your users will love and that will perform reliably under load.
If you’re interested in hiring developers for this capability in Argentina, visit the Argentina version of this page.
CONTACT US
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