Full Stack Software Engineer

Viaduct | Menlo Park, United States

Date listed

1 month ago



Total Funding

$183.7 billion

Glassdoor Rating

5/5 (4 reviews)

Who We Are

We are a diverse and focused team motivated to solve the hardest problems in the automotive industry through machine learning. We are developing an end-to-end machine learning platform to empower automakers to build safer, smarter, and personalized vehicles. Our platform increases connected vehicle data accessibility and actionability for automakers, their partners and their end-customers.

Who You Are

You are an empathetic engineer. You pay attention to the long term implications of your design decisions and how they may affect future users of the application. Clarity is better than cleverness - simplicity is top of mind when writing code or designing new services. You know when to make the trade-off between getting work done and doing it perfectly.

About the Role

As one of the first dedicated full-stack hires, you will not only be building the backend and frontend for new services, but also building the development environment and frameworks that will allow future full-stack engineers to excel. You will work closely with the product to ensure your service design is laser-focused on solving our customer needs.


  • Creating software design and architecture proposals
  • Planning, coordinating, and estimating the work and time required to deliver new features
  • Developing, deploying, and monitoring internal and customer-facing micro-services from code to Kubernetes
  • Implementing modern analytic and monitoring tools
  • Configuring CI to allow correct and rapid iteration on code

About You

  • 3+ years of experience working a full-stack role
  • Experience as a tech lead or mentor
  • 2+ years working with Go, typed Javascript (TypeScript or Flow), and React
  • Experience writing, building, and deploying your own Docker images
  • Experience working with analytic and monitoring tools, such as Sentry, DataDog, Mixpanel, New Relic, etc
  • Professional experience with Kubernetes


  • Contributor to open source projects
  • Experience in the Automotive industry or a love of cars
  • Prior work in small, agile teams

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