Match score not available

Backend Engineer: Resale Intelligence

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Experience in building scalable services, Proficiency in programming languages (Typescript, Python, Java), Hands-on experience with SQL, Bonus: Experience with large datasets, Bonus: Familiarity with graphql.

Key responsabilities:

Design and implement backend services for resale platform
Expand resale intelligence capabilities and optimize client profitability
Collaborate with brand success teams and logistics partners
Provide data and analytical support for initiatives
Handle third-party integrations and order fulfillment

Archive Startup https://www.archiveresale.com/

11 - 50 Employees

See more Archive offers

Job description

Join Archive in our mission to change consumer behavior for the better. If you think humans buy too much stuff and throw too much away, then this problem is for you. We’re starting with fashion and expanding from there.

Archive is the leading technology platform for branded resale. The company works with more than 50 global brands including The North Face, Diane von Furstenberg and New Balance, to develop innovative resale programs that keep products out of landfill.

This role offers the challenge of building highly scalable backend services that unlock deep insights for our customers about the full lifecycle of their goods. Help us build out the resale intelligence layer of our platform to keep these goods in use for longer.

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

Archive is a Series A startup backed by top-tier investors including Lightspeed and Bain Capital. We’re a fast growing team, working with over 50 brands including The North Face and New Balance. The founders, Emily and Ryan, bring a mix of business and technology experience including 2 startups and a successful exit.

We are honored to be named Fast Company's #2 Most Innovative Company in Retail in 2024.

The team is currently remote-first with a hub office in NY and optional in-person work for those located in the area. We have company offsites twice a year to bring the full team together in person, and occasional travel is expected as part of the job.

We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying. Please note, we are unable to accept applications from candidates outside of the US at this time.

#Remote #LI-Remote