Patrick Beam
Building infrastructure that understands software.
AI for developer platforms, observability, and production systems.
Director of Production Engineering at HEB
Previously Hulu and Under Armour
Austin, Texas
Currently exploring
- Deploying conversational AI to frontline operators
- AI-assisted incident triage and root-cause reasoning
- Platform teams as the context layer for production AI
What I work on
AI-native infrastructure
Modern infrastructure is becoming conversational. Engineers will interact with systems through intent and context instead of dashboards and tickets.
My focus is building platforms where AI can reason across telemetry, incidents, and code.
Developer platforms
Developer productivity depends on the quality of the platform beneath it. My work centers on platform engineering practices that simplify deployment, improve reliability, and accelerate teams.
Observability and reliability
Systems at scale require discipline. I focus on SRE practices that combine strong operational design with modern observability and automation.
Thinking
Career
HEB
Director of Production Engineering
2019 – Present
Built the first Site Reliability Engineering organization supporting critical services including ecommerce, curbside, POS, and pharmacy. Led adoption of AI-driven developer tooling and modern platform practices. Leading the effort to deploy conversational AI to our Partners.
Under Armour Connected Fitness
Principal Engineer
2015 – 2019
Led migration to Kubernetes platform architecture, reducing deployment time by 90 percent and lowering infrastructure cost by 60 percent.
Hulu
Head of Operations / Principal Engineer
2007 – 2014
Designed infrastructure supporting billions of video views monthly and built platforms that scaled to tens of thousands of virtual machines.
Earlier roles
Rackspace · Primus Networks · AgentoGo · Trilogy Software
Areas of expertise
Infrastructure
- Cloud architecture
- Kubernetes platforms
- Infrastructure as code
Reliability
- Site Reliability Engineering
- Incident management
- SLI and SLO frameworks
- Observability systems
AI Platforms
- AI infrastructure
- MLOps
- AIOps
- Developer tooling
Contact
If you are working on interesting infrastructure or AI platform problems, I would enjoy connecting.
Austin, Texas