# Dan Arbaugh

> Staff-level Software Engineer with 12+ years of experience specializing in cloud infrastructure, capacity planning, multi-cloud orchestration, and observability.

Dan Arbaugh is a staff-level software engineer currently at O'Reilly Media, Inc., where he designs and leads multi-cloud provisioning infrastructure managing capacity planning, resource lifecycle, and cost efficiency across a multi-tenant platform. He has deep expertise in Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Amazon Web Services (AWS), Microsoft Azure, Kubernetes, Terraform, Python, Go, Celery task orchestration, Datadog observability, and production Large Language Model (LLM) integration.

## Resume

- [Resume](https://danarbaugh.com/): Full resume with work experience, skills, and education
- [resume.json](https://danarbaugh.com/resume.json): Machine-readable JSON Resume format (jsonresume.org schema)
- [resume.md](https://danarbaugh.com/resume.md): Plain markdown format of the resume

## Contact

- Email: dan@danarbaugh.com
- LinkedIn: https://linkedin.com/in/danarbaugh
- GitHub: https://github.com/danarbaugh

## Key Skills

- Cloud infrastructure platform engineering (Google Cloud Platform / GCP, Amazon Web Services / AWS, Microsoft Azure, Kubernetes, Terraform)
- Capacity planning, resource lifecycle management, multi-tenant SaaS provisioning
- AI/LLM integration and agent development (LiteLLM, AWS Bedrock, GCP Vertex AI, Azure OpenAI)
- Observability and monitoring (Datadog: metrics, dashboards, distributed tracing)
- Backend development (Python, Go, FastAPI, Celery, Postgres, Redis)
- Open source contributor in Go

## Current Role

Staff-level Software Engineer at O'Reilly Media, Inc. (December 2018 – Present, promoted April 2023). Designs and leads Cloud Labs, a multi-tenant platform delivering thousands of concurrent ephemeral cloud environments per week across GCP, AWS, and Azure. Built account pool and recycling architecture for cost and utilization optimization. Conceived and shipped O'Reilly's first AI-powered Cloud Lab using embedded LLM coding agents (aider CLI + AWS Bedrock). Google Cloud certified.

## Education & Certifications

- B.S. Computer Science, University of Southern Indiana (2014)
- Google Cloud Associate Cloud Engineer (Issued December 2023, Valid through December 2026)