Michael Caxias

Background

About Michael Caxias

I am a Backend Engineer dedicated to building high-performance, scalable systems and optimizing software delivery through systematic automation. With a strong foundation in Java, Go, and Node.js, I focus on creating resilient architectures that solve complex business challenges.AI-Augmented Engineering & Productivity:I leverage a sophisticated AI-driven toolset to maximize delivery precision and architectural integrity. My workflow is grounded in- SDD (Spec-Driven Development): Utilizing precise specifications as the single source of truth to guide AI agents (Claude Code, Cursor, Antigravity) in generating high-quality, bug-free code- BMAd Method (Build More Architect Dreams): Shifting the focus from manual coding to high-level architectural design, allowing for rapid prototyping without compromising system robustness- Ralph Loops: Implementing tight, iterative feedback cycles for continuous refinement and technical excellence.Observability & Reliability (o11y):I believe that a system is only as good as its visibility. I specialize in instrumenting distributed environments with OpenTelemetry, structured logging, and Datadog, ensuring that every microservice is measurable, monitorable, and resilient to failure.Technical Expertise- Primary Stack: Java (Spring Boot), Kotlin, Go (Golang), TypeScript (Node.js)- Observability: OpenTelemetry, Datadog, Distributed Tracing, Logs-as-Data- Security: Proactive mindset in vulnerability research and building secure-by-design systems- Versatility: Polyglot experience with Python, C#, and PHP.I thrive in high-stakes environments that value clean code, engineering discipline, and a data-driven approach to solving complex problems.