Job Description
At Digital Iron, we're building the intelligent infrastructure that powers predictive maintenance and parts procurement automation across the heavy equipment ecosystem. We work with customers to transform how industrial equipment is maintained.
We're looking for an AI Infrastructure Engineer who combines deep technical expertise in distributed systems with strategic thinking about integration architecture. You'll need exceptionally high standards for data accuracy, first-principles problem solving, and an obsession with building systems that scale across diverse partnership models.
As our first dedicated infrastructure engineer, you'll work on problems at the intersection of knowledge graphs, real-time IoT data, and enterprise integration—building infrastructure that thousands of businesses will depend on.
What You'll Own
1. Design the framework that supports multiple partnership and customer models: Deep Embedded (white-label components), Best-of-Breed SaaS (standalone platform with APIs), Data Layer Only (predictions via API)
2. Evaluate architectural tradeoffs across complexity, risk, scalability, time-to-market, and value capture for each pattern
3. Make build vs. buy decisions: direct API integrations vs. iPaaS middleware vs. embedded agents
4. Define authentication strat...