Software Engineer

Rinse · Logistics

midRemote

Salary Range (USD)

$80k - $200k

Location

USA

Visa Support

Not mentioned

Funding Stage

established

Job Responsibilities

  • Develop and maintain sophisticated logistics optimization software
  • Work on a polished consumer product
  • Contribute to firm business fundamentals

Required Skills

ReactTypescriptCSSPythonDjango

Engineering Culture & Tech Stack

ReactTypescriptCSSPythonDjangoPostgresReact Native
collaboration
honesty
open communication

Raw Post

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RINSE | REMOTE or San Francisco, Los Angeles, Chicago, Boston, New York, New Jersey, Seattle, Austin, Toronto, or Washington DC | Software Engineer | Full-Time | Salary: $80k-$200k USD | https://www.rinse.com Rinse provides dry cleaning and laundry delivery services to customers in twelve metropolitan areas in the US and Canada. We have sophisticated logistics optimization software, a polished consumer product, and firm business fundamentals. We're now over a decade old - this is a stable, yet consistently growing and innovating, company. Our engineering team is distributed across the United States and internationally, and has been entirely remote for years now, but a desk can be provided in the above cities if you'd prefer. We're open to both newly-graduated engineers or more senior engineers, provided they meet our bar. We're particularly interested in true full-stack engineers, with strong React / Typescript / CSS skills to complement comfort in a Python / Django environment. We're also seeking engineers with experience leveraging AI to automate complex operational processes. We're particularly interested in someone with significant React Native expertise at the moment, as we work to improve the apps our customers, delivery valets, and partners use. You will join a high-caliber team where collaboration, honesty, and open communication are at the core of everything we do. Search term bingo: Logistics, Django, Python, Optimization, React, React Native, Postgres, Mobile Engineer, Automation, Delivery, OR-tools, Forecasting

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