Remote: Yes (preferred) — or hybrid LA/Irvine

Willing to relocate: No

Technologies: Multi-agent orchestration (LLM agents in production — 79+ agents), Python, TypeScript, GCP/Azure, RAG/vector search, zero-trust architecture, SIEM/SOC operations, SOC2/FedRAMP-adjacent compliance, CI/CD

Résumé/CV: https://linkedin.com/in/garza

Email: juandgarza@gmail.com

Seeking: VP / Director / Head of Engineering — AI-agent platforms, security engineering, or the intersection. Currently Founder/CEO of Netrun Systems, where I've shipped a production agent-orchestration platform (Wilbur) and filed 20 patents. Previously Technical Director of Cyber Defense at Amtrak (32M+ annual passengers; ~40% incident reduction) and Microsoft. I'm looking for a platform-scale leadership seat where an operator who has actually run agentic systems in production — and defended critical infrastructure — beats a résumé keyword match. Happy to show working systems rather than talk about them.

Comments URL: https://news.ycombinator.com/item?id=47589813

Points: 2

# Comments: 0

*What's included (all MIT licensed):*

- netrun-auth: JWT + Casbin RBAC + multi-tenant isolation - netrun-logging: Structlog backend with auto-redaction of sensitive fields - netrun-config: Azure Key Vault integration with TTL caching - netrun-errors: Exception hierarchy mapped to HTTP status codes - netrun-cors: OWASP-compliant middleware - netrun-db-pool: Async SQLAlchemy connection pooling - netrun-llm: Multi-provider LLM orchestration (Azure OpenAI, Ollama, Claude) - netrun-env: Schema-based environment validation - netrun-pytest-fixtures: Unified testing fixtures - netrun-ratelimit: Token bucket rate limiting

*Design philosophy:* - Soft dependency pattern: each package works standalone but integrates when others are installed - Zero required config: sensible defaults, override what you need - Async-first: built for FastAPI and modern Python

*Quick install:* pip install netrun-auth netrun-logging netrun-config

Happy to answer questions about the implementation choices. The LLM package in particular has some interesting patterns for provider fallback and cost optimization. https://pypi.org/user/NetrunSystems/

Comments URL: https://news.ycombinator.com/item?id=46296503

Points: 4

# Comments: 1