About the role
- Design and implement services for our platform that include tools to identify and prepare items for resale, fulfill and support customer orders, handling everything from graphQL action handlers to 3rd party integrations.
- Expand and grow our resale intelligence capability to turn rich data into actionable intelligence and optimize profitability of our clients.
- Work closely with our brand success teams and logistics partners to deliver core Archive product features that power resale operations.
- Provide data and analytical support for brand success initiatives.
About you
- You love working with data and solving complex problems with elegant solutions using code.
- You take a principled, but pragmatic, approach to code and quality assurance.
- You are self-directed and do not shy away from unique, under-defined problems.
- You have excellent communication skills and can collaborate effectively in teams of technical and non-technical individuals.
- You are mission-driven and love the fact that the better we do as a company, the less waste we’ll see in the world.
Skills / Experience
- Experience building and shipping performant, scalable services to real users.
- Ability to balance upfront data model & architectural complexity with moving to ship quickly.
- Proficient with programming languages such as Typescript, Python, Java, or equivalent.
- Hands-on experience with SQL.
- Bonus: Proficiency working with large datasets using modern data languages and libraries (e.g. SQL, Python, Pandas, iPython Notebook).
- Bonus: Experience in graphql from react-based client applications.
- Bonus: Prior experience in a technical, customer-facing role.
Our stack
- Frontend: Next.js + React + Redux + Apollo Client (Typescript), Firebase Auth
- Backend: NodeJS (Typescript), Hasura GraphQL Engine, Python
- Database: PostgreSQL
- Infrastructure: AWS, Terraform, Vercel
- Collaboration: Github, Linear, Notion, Slack
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