Backend Engineer at Archive Resale Inc.

Archive Resale Inc.

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Title: Backend Engineer

Location: United States

Workplace: remote

Category: Engineering

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.

About the role

  • Work closely with front-end engineers to deliver core Archive product features; handling everything from database admin and graphQL action handlers to 3rd party integrations like Shopify apps and Stripe implementations.
  • Design and implement systems for integration of brand data from a diverse set of APIs, existing platforms, and data formats.
  • Develop metrics and checks for production data pipelines, ensuring observability and quality of data for the marketplace.
  • Engage early with fashion brands to facilitate onboarding alongside our brand success team.
  • Provide data and analytical support for brand growth initiatives.

About you

  • You are excited about the proposition of taking lessons learned from today’s data integration challenges and scaling them across the fleet of current and future brands.
  • You are self-directed and do not shy away from unique, under-defined data problems.
  • You take a principled, but pragmatic, approach to code and quality assurance.
  • 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 handle upfront data complexity and break it down into an existing framework.
  • Proficient with programming languages such as Python, Java, Typescript, or equivalent.
  • Hands-on experience with SQL. Analytical SQL experience is a plus, but not required.
  • Professional experience using a data orchestration framework such as Dagster, Airflow, Luigi, etc.
  • Bonus: Experience in eCommerce, marketplace or multi-tenant platform development
  • Bonus: experience with infrastructure-as-code such as Terraform, CloudFormation, etc.
  • 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, Dagster
  • Database: PostgreSQL
  • Infrastructure: AWS, Terraform, Vercel, Google Cloud
  • Collaboration: Github, Linear, Notion, Slack

The expected annual base salary range for this position is $175,000 – $225,000. Compensation varies based on a variety of factors which include (but aren’t limited to) such as role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible for equity as well.

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

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