Leon Brown
Senior Technical Writer – Infrastructure & Observability
Docs-as-Code • Information Architecture • AI-Augmented Workflows
About
I am a senior technical writer specializing in infrastructure, observability, security platforms, and distributed systems.
My work focuses on building scalable documentation systems, not just writing individual pages. I operate at the intersection of information architecture, developer experience, and operational clarity.
I have led and contributed to:
- Documentation architecture redesigns
- Taxonomy definition and URL restructuring
- Workflow-first documentation models
- Docs-as-code production environments
- AI-assisted documentation workflows in production settings
I prioritize clarity, structure, and sustainability over volume.
Areas of Focus
Infrastructure & Observability
- Metrics, logs, traces, and profiling concepts
- Telemetry pipelines and system visibility
- Cloud-native architecture documentation
- Kubernetes and distributed service documentation patterns
- Alerting, SLO, and reliability documentation
I design documentation that reflects how systems actually behave, not how features are marketed.
- Workflow-first content modeling
- Feature-to-task restructuring
- Redundancy reduction across large doc sets
- Navigation and discoverability optimization
- Versioning strategy and URL governance
Documentation should scale with product complexity.
I focus on building structures that remain coherent as products grow.
Docs-as-Code & Production Workflows
- Git-based documentation environments
- Structured Markdown repositories
- Contribution guidelines and review governance
- Cross-functional collaboration with engineering
- Release-aligned documentation processes
I treat documentation as a system: versioned, reviewable, and operationally aligned.
AI-Augmented Documentation Workflows
I integrate AI tools into production documentation pipelines with controlled editorial oversight.
My workflow includes:
- Structured prompt frameworks for draft acceleration
- Human validation and technical accuracy review
- Iterative refinement with subject matter experts
- Risk controls to prevent hallucination and drift
AI is used as a force multiplier, not as a replacement for domain literacy or editorial judgment.
Philosophy
Infrastructure documentation should:
- Reflect system reality
- Reduce cognitive load
- Scale with architecture
- Support operational decision-making
- Remain durable under rapid product evolution
My work centers on building documentation ecosystems that support engineers, operators, and enterprise stakeholders at scale.
Professional Background
Experience across SaaS infrastructure, cybersecurity platforms, and enterprise-scale documentation environments.
Core competencies include:
- Observability documentation
- Security platform documentation
- Documentation governance
- Cross-team coordination
- Documentation performance optimization
Open to senior-level infrastructure documentation roles where system thinking, architectural clarity, and operational maturity are valued.
Writing Samples
Sourcefire
Cisco
Cisco Firepower Threat Defense: High Availability
ThreatQuotient
Tanium
Tanium Deploy: Updating Windows
Pegasystems