Tread - Staff Backend Engineer (Rails)
Requirements
• Strong Rails experience, or strong experience in a comparable backend framework and willingness to ramp fast. • You think in systems — interfaces, schemas, invariants, failure modes — and you've shipped designs that held up as the product scaled past their original assumptions. • You can model workflows where the source of truth is unreliable and the system still has to settle correctly. • High ownership. • Daily, opinionated use of AI coding tools. • You can debug production issues and explain root causes. • Background in logistics, ops, payments, or fintech. • We deploy continuously, review PRs the same day, and invest in correctness up front so on-call stays light. • AI tooling is part of the infrastructure. We maintain a shared internal skills library across Claude Code and Cursor, with namespaced agent skills the whole team uses for reviewing diffs and resolving PR feedback. We engineer the agent loop itself — skills, prompts, review pipelines. We invest in the dev environment and CI work that makes coding agents useful: devcontainers, fast feedback, pre-approved permissions, cloud agent support. Improving the SDLC is first-class engineering work. • This isn't the right role if you want to: • Write only CRUD endpoints. • Treat AI coding tools as a side experiment. • Send something you've worked on where the backend had real complexity. A repo, a write-up, an architecture doc, a postmortem. One good thing beats a long resume.
Responsibilities
• Manage state machines across projects, orders, jobs, and loads. • Operate a telematics layer with billions of rows tracking thousands of trucks across North America — live position, route history, mileage attribution. • Design geofencing and geo-driven event processing that turns raw GPS into structured dispatch events. • Build algorithmic dispatch and optimization, including automated load assignment. • Run the payments stack that settles ~$1B/month in hauler payouts. • Ship customer-facing agentic workflows on our MCP and LLM features. • Build integrations with telematics providers, scale houses, ERPs, and other external systems. • Shape our internal AI tooling — shared agent skills, automated review, prompt and skill infrastructure.
Benefits
• Estimated Base Salary $180K – $220K • 0.1% – 0.25% • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here
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