Curri · Ventura, CA, USA
Curri is seeking a Senior Software Engineer to join the Technology team as a Product Engineer with real ownership over outcomes. Curri runs last-mile logistics for national retailers and industrial suppliers across the US, and our engineering bar is moving up: we need engineers who pick up a problem, scope it themselves, talk to the stakeholder living it, and ship without waiting for a perfect spec.
About the Role
In this role, you will work in weekly shipping loops across the full stack, use AI tooling as a daily force multiplier, and leave measurable evidence of your impact in every system you touch.
What You Will Do
Own engineering problems end-to-end: talk to the stakeholder, scope the solution, ship to production, measure results, and iterate without waiting for a fully-formed ticket.
Ship multiple surfaces per quarter in weekly loops, with a clean answer to 'what shipped this week and what did it tell us?' every cycle.
Build across the full stack as the problem demands, including backend services in TypeScript, Node, Postgres, NATS, and Redis alongside customer-facing or internal UI in React and React Native.
Use AI tooling fluently every day, including Claude Code in plan and edit modes, Cursor, and Claude for design and code review, and take full ownership of everything you ship with it.
Make architectural decisions that scale, leave systems better than you found them, and partner with Platform and Infrastructure to move the codebase in the right direction.
What We Are Looking For
6+ years of experience building production software with a product engineer mindset: comfortable with broad scope and little spec, with the expectation that you will define the work rather than wait for it to be handed to you.
Full-stack range across backend systems (TypeScript, Node.js, Postgres, Redis, NATS) and UI (React), with the confidence to cross lines as the problem demands rather than staying in a familiar lane.
Fluency with AI-paired delivery through daily use of Claude Code, Cursor, or equivalent agents, with a clear sense of when to use plan mode, when to drive the agent, and when to write the line yourself, and a consistent habit of reviewing AI output critically before it ships.
Systems thinking that extends beyond feature delivery, with the ability to reason about scale, reliability, latency, and cost and design for the system you will need rather than the one that just works today.
Direct, proactive communication with cross-functional stakeholders: you ask hard scope questions early, don't go dark for weeks, and earn trust by keeping people informed.