What you'll do
- Own and manage end-to-end backend systems including data models, workflows, and APIs for dispatch, ticketing, and settlements.
- Collaborate closely with frontend, mobile, product, and Forward Deployed Engineers in a small, lean engineering team.
- Leverage AI-generated code extensively while maintaining ownership of architecture, tests, security, and production behavior.
- Design and operate complex systems such as telematics tracking, geofencing, algorithmic dispatch, and payments processing.
- Build and maintain integrations with external systems and shape internal AI tooling for development and review workflows.
What you should know
- This role requires high ownership and comfort working with AI-generated code as a core part of the workflow.
- Candidates should be comfortable designing systems with unreliable data sources and complex workflows that scale.
- The environment is fast-paced and expects engineers to drive architecture and tooling improvements, not just write CRUD endpoints.
- Applicants should be ready to work in a collaborative, cross-functional team with product and forward deployed engineers.
- Not suitable for those who prefer fully specified requirements or treat AI coding tools as optional or experimental.
About the company
- Tread is an AI-native vertical SaaS company transforming construction materials logistics with a focus on scalability and innovation.
- The company is a Series A startup backed by Mucker Capital, experiencing rapid growth and crossing $1Bn in monthly load value.
- The engineering team is small (<10 people) and cross-functional, emphasizing high impact and ownership.
- They prioritize continuous deployment, fast PR reviews, and correctness upfront to maintain a light on-call burden.
- Unique use of AI in their development process, with a software factory approach that integrates AI coding tools deeply into the SDLC.
Key required skills
Ruby on RailsPostgreSQLRESTAI coding toolsSystem design