Go
Primary backend language
>_ skills
Go Backend · Distributed Systems · Platform Engineering
Engineering Capabilities
A practical engineering toolkit shaped around building reliable backend services, distributed systems, cloud-native infrastructure, and developer tooling.
Engineering Foundation
The technical foundation behind the systems, infrastructure, and developer tooling I build.
Distributed Systems
Reliability, concurrency, and scalable architecture
Cloud Native
Containers, orchestration, infrastructure, and observability
Engineering
Maintainability, performance, testing, and clean architecture
I build reliable backend systems with Go, with a focus on distributed systems, scalable infrastructure, platform engineering, and production reliability. My engineering approach emphasizes clear architecture, concurrency, observability, automation, and systems that remain maintainable as they grow.
Engineering Toolkit
The languages, systems, infrastructure, data technologies, and tools I use to design and build reliable software.
Go Backend Engineering
15 skillsBuilding reliable, maintainable backend services and APIs with Go, emphasizing concurrency, performance, clean architecture, and production-ready engineering practices.
Go
net/http
Gin
REST APIs
gRPC
Protocol Buffers
Concurrency
Goroutines
Channels
Mutex & sync
Context
Graceful Shutdown
Clean Architecture
System Design
API Security
Distributed Systems
15 skillsDesigning and understanding distributed software around reliability, concurrency, communication, fault tolerance, consistency, and scalable service architecture.
Distributed Systems
Microservices
Event-Driven Architecture
Message Queues
RabbitMQ
Apache Kafka
NATS
gRPC
Service Communication
Circuit Breakers
Fault Tolerance
Graceful Degradation
Raft Consensus
TCP/IP
Distributed Coordination
Platform Engineering
14 skillsBuilding the infrastructure, automation, deployment workflows, and operational foundations required to run reliable software at scale.
Linux
Docker
Kubernetes
Helm
Terraform
Infrastructure as Code
GitHub Actions
CI/CD
AWS
Google Cloud
Cloud-Native Architecture
Platform Automation
Deployment Automation
Configuration Management
Observability & Reliability
10 skillsInstrumenting and operating backend systems so performance, failures, and system behavior can be understood in production.
Prometheus
Grafana
OpenTelemetry
Metrics
Logging
Distributed Tracing
Health Checks
Performance Analysis
Reliability Engineering
Incident Debugging
Data & Persistence
11 skillsWorking with relational, key-value, document, and embedded databases to support reliable application state and data-intensive services.
SQL
PostgreSQL
SQLite
Redis
MongoDB
CockroachDB
bbolt
Database Design
Data Modeling
Transactions
Indexing
Engineering Practices
14 skillsThe development practices and tools I use to keep engineering work reproducible, testable, maintainable, and efficient.
Git
Bash
Zsh
Neovim
Vim
GoLand
VS Code
PyCharm
Testing
Debugging
Documentation
Automation
Data Structures & Algorithms
Object-Oriented Programming
Supporting Backend Technologies
9 skillsAdditional technologies that complement my primary Go backend and distributed-systems focus.
Python
FastAPI
Flask
Authentication
Authorization
Web Security
API Design
JSON
YAML
Engineering Growth
A deliberate learning path focused on becoming a stronger backend and distributed-systems engineer.
01 · Now
Deepening the Core
Strengthening the systems and infrastructure fundamentals that underpin reliable production software.
- Advanced Distributed Systems
- Backend Architecture & System Design
- High-Performance Go Engineering
- Cloud-native Infrastructure
- Kubernetes & GitOps
- Observability & Production Reliability
02 · Next
Expanding the Systems View
Moving beyond individual services toward platforms, automation, and larger distributed architectures.
- Platform Engineering
- Advanced CI/CD & Automation
- Infrastructure as Code
- Event-driven Architecture
- Advanced Networking & Security
- Enterprise Software Engineering
03 · Frontier
Exploring the Frontier
Exploring deeper systems programming and infrastructure technologies that broaden how I reason about complex software.
- Rust Systems Programming
- eBPF & Linux Internals
- Service Mesh & Distributed Networking
- LLM Platform Engineering
- AI Infrastructure
- Elixir & Distributed Systems
The goal isn't to collect technologies.
It's to develop the depth required to design, operate, and improve reliable systems as their complexity grows.
Engineering Principles
The principles that guide how I design, build, and maintain reliable software.
Reliability over cleverness.
Prefer predictable, resilient systems over unnecessary complexity or clever abstractions.
Simplicity scales.
Keep systems understandable so they remain easier to operate, extend, and debug as they grow.
Automate repetitive work.
Turn repeatable engineering tasks into reliable automation that reduces friction and human error.
Measure before optimizing.
Use observability, profiling, and evidence to identify real bottlenecks before changing the system.
Design for maintainability.
Write software that another engineer can understand, operate, test, and safely change.
Documentation is part of engineering.
Capture important decisions, system behavior, and operational knowledge as part of the engineering process.
Let's Build
Building reliable systems starts with good engineering.
If you're working on meaningful backend, distributed systems, or infrastructure problems, I'd be glad to connect.