Backend Engineer

Los Angeles, CA, United States, Remote • $100k - $130k

First Resonance


Role Locations

  • Los Angeles, CA, United States
  • Remote

Compensation

$100k - $130k

Employees

11 - 25 people

Address

555 W 5 Th St Ofc 34041
Los Angeles, CA, 90013-1010, US

Tech Stack

  • Python
  • Flask
  • AWS
  • React
  • Docker
  • PostgreSQL
  • TypeScript

Role Description

Responsibilities Develop well-tested, GraphQL mutations and queries to expose the underlying data model to users. Design Postgres tables and corresponding SQLAlchemy models from defined specs. Architect and write independent modules to execute code off the request cycle. Optimize ORM model code for reusability and efficiency Base skills Strong Google and StackOverflow skills Strong proficiency in Python Thorough understanding of Object Relational Mapping libraries, preferably SQLAlchemy Proficiency with relational databases, preferably Postgres Experience developing user friendly APIs Experience with GraphQL Experience with version control via Git/GitHub Knowledge of modern authorization mechanisms, such as JSON Web Token (JWT) Experience with unit testing and integration test frameworks (pytest) Ability to understand business requirements and translate them into technical execution Preferred skills Experience with python data science libraries (pandas, numpy, sklearn) Has built production-grade software systems used by others Experience with Agile development methodologies and tools Experience building enterprise applications Experience building manufacturing tools or working in a manufacturing environment Experience writing ETL processes

About First Resonance

We are building a Factory OS for next-generation hardware companies so that they can deliver hardware faster and more reliably.

Company Culture

We are all owners — including individual projects, features, and the customer experience. Because we are all engineers, and so are our users, we value tight feedback loops and building for technical people. Given that we are young, we are scrappy and constantly have to make good judgements about speed to implementing and ensuring we don't bring down a manufacturing line.

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