Sr. Software Developer, E-Commerce Systems

Sr. Software Developer, E-Commerce Systems

Location: Remote- Latin America, Eastern Europe, Philippines.
Employment Type: Full time, Monday - Friday. 9AM - 5PM EST or CST.
Compensation: $15–$25 per hour ( $2,500- $4,000 Monthly ) Salary based on expertise.

We operate three home furnishings storefronts with a catalog of more than 100,000 SKUs from a large network of manufacturers. Our custom technology stack includes a Django backend, a React storefront running on Cloudflare Workers, and data pipelines that transform vendor spreadsheets, emails, SFTP files, and websites into clean product, pricing, and inventory data.

We are looking for a Software Developer to work alongside our lead developer in extending and improving this platform. Much of the work involves solving practical business problems: fixing unreliable vendor feeds, clarifying and improving pricing logic, building APIs, improving product data quality, and replacing manual spreadsheet workflows with dependable software.

We value engineers who investigate problems thoroughly, write meaningful tests, communicate clearly, and use AI coding assistants productively while remaining accountable for the code they ship.

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. Elastic search-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's a script or an admin screen. Sometimes it's an LLM-based workflow, if that's the right tool for the problem.
• Infrastructure. We're moving hand-built AWS and Cloudflare resources to OpenTofu. Some exposure here is useful but not required.

How we work

• Tests come first. We write a failing test, then the code. Tests build their own data and assert on exact values. A test that only checks for a 200 response doesn't count.
• Typed, reviewed, small. Python is type-annotated and checked, TypeScript runs in strict mode, and changes go in as small, focused pull requests with one fix per commit.
• Production is careful work. Migrations, data fixes and infrastructure changes get agreed on before they run, and we don't commit secrets.
• We use AI coding assistants every day, and we review everything they produce. We keep written project conventions that the agents follow. We want someone who gets real speed out of these tools and still owns every line that ships, and who can spot when the assistant got it wrong.

What Success Looks Like

Success means fewer recurring data-feed failures, more accurate catalog and pricing information, dependable APIs, improved search and operational workflows, meaningful automated test coverage, and code that the team can confidently maintain.