Senior Software Engineer Commerce Systems

These are some of the traits we would want you to bring to the table:

• 5+ years building production software, strong in Python or TypeScript

• AI-first way of working: you already build most of your code with AI coding agents (Claude Code, Cursor or similar) and have a clear method for verifying what they produce

• A critical eye: you spot when output is confidently wrong, you don't trust a green test suite blindly, and you can explain why something that "works" is still not right

• Experience integrating business systems through APIs and webhooks: data mapping, idempotency, retries, queues, reconciliation

• Able to build a simple internal web app end to end (backend, database, a functional UI)

• Solid SQL

• You've worked at or with an e-commerce brand, marketplace, 3PL, ERP partner or integrator, and you understand orders, inventory and fulfilment

• You own production: you think about monitoring and failure modes before you ship

• Autonomous and trustworthy: you take a vague business problem, scope it, and deliver it without being managed step by step, and you can be trusted with admin access to critical systems

• Comfortable dealing with vendors and non-technical colleagues directly

• Professional level of English and Spanish

• NetSuite (SuiteTalk REST, SuiteQL, saved searches)

• EDI (X12 850 / 856 / 810 / 846)

• Amazon SP-API, Shopify Admin API, or other marketplace APIs

• Pricing or repricing logic

• GCP, Terraform, Docker

• People-first culture: people are at the heart of everything we do. We're building a place where you can thrive, feel valued, and have a real impact.

• Time to recharge: 25 vacation days each year.

• Smart compensation: tax-advantaged flexible retribution, so you can tailor your package.

• Work-life harmony: flexible hours and the option to work hybrid.

• Monthly Wellbeing Day: one day off every month to focus on yourself (12 extra days a year).

• Birthday off: a day off during your birthday month.

YABA sells five brands across Amazon, our own Shopify stores, marketplaces like iHerb, and retailers like Target. Behind that sit NetSuite, several 3PLs and a growing set of integrations, pricing rules and internal tools. We're looking for a senior engineer to own big pieces of that system end to end.

This is a senior role in a small Tech team, reporting to the CTO. You'll start by owning our commerce integrations - inventory, orders, EDI, marketplaces, 3PLs and NetSuite - and then take on the internal tools we need next, starting with a pricing back office that controls prices per channel.

We are AI-first. Most of our code is written by AI coding agents like Claude Code, and we build rather than buy - custom beats expensive, rigid middleware for our use cases. That makes the hard part of the job judgement, not typing: deciding what to build, directing the agent precisely, and above all evaluating its output with a critical eye. We're looking for someone who assumes generated code is wrong until proven right, catches the subtle mistakes (a silent data drift, a missing retry, a secret in the wrong place), and owns what ships in production

You'll own workstreams from the first conversation with the business to running them in production. You'll work with Operations, Supply Chain, Finance and Brand Management, and with vendors such as SPS Commerce, Mirakl, our 3PLs and our NetSuite partner.

• Own the integrations between NetSuite, Shopify, Amazon, marketplaces, EDI partners and 3PLs (orders, stock, shipments and invoices)

• Keep stock accurate across every channel: sync, allocation rules and daily reconciliation with alerts when anything drifts

• Build internal tools and back-office apps, starting with a pricing tool that sets prices per channel within rules (Amazon Buy Box and reference-price constraints, margin floors, approvals)

• Replace fragile no-code automations (Make, n8n) with maintainable code where it matters

• Run what you build: monitoring, alerting, runbooks, and fixing incidents when they happen

• Work directly with vendors and retailers' technical teams to pin down specs and resolve issues

• Act as the CTO's backup for day-to-day tech operations: first responder for tech requests, incidents and access management when the CTO is away

• Work AI-first every day: brief agents precisely, then review their output critically: tests, edge cases, failure modes, security, and reconciling results against source systems before anything reaches production