Описание
We run three home furnishings storefronts on a catalog of 100,000+ SKUs from a long list of manufacturers. Almost all of it runs on software we built ourselves: a Django backend, a React storefront on Cloudflare Workers, and a set of pipelines that turn messy vendor spreadsheets, emails, SFTP drops and websites into clean product, pricing and inventory data. We're looking for a developer to work alongside our lead developer on that stack.
Most of the job is solving concrete business problems: a vendor feed that breaks every month, a pricing rule nobody can explain, a task the team still does by hand in a spreadsheet. You'll figure out what's actually going on, then build the fix, and look for places where AI can make the process itself work better. What you'll work on ● Product data.
Vendor imports and feeds, our in-house PIM, categorization, images and data quality across a large, inconsistent catalog. ● Inventory and pricing. Feed ingestion (AWS Lambda, S3, SFTP), scrapers for vendors without feeds, and the pricing, deals and cart logic that depend on them.
● The storefront API. We're replacing Shopify with our own Django backend and a React Router storefront. You'll build and test the API endpoints the new site depends on.
● Search. Elasticsearch-backed search, facets and recommendations. ● Internal tools and automation.
Find the manual, repetitive work across the business (merchandising, customer service, operations) and replace it with something reliable. Sometimes that'
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