Backend Engineer

Remote, San Francisco, CA, United States

Streamlit


Role Locations

  • Remote
  • San Francisco, CA, United States

Employees

11 - 25 people

Address

777 Oak St
San Francisco, CA, 94117-2516, US

Tech Stack

  • TypeScript
  • React
  • Protobufs
  • Python

Role Description

Come help us build a new type of development infrastructure that a whole class of developers will rely on every day.

What you’ll be doing

  • Helping design and build a Platform-as-a-Service that makes web-app deployment/maintenance as simple as clicking a button.
  • Writing complex (yet clean/understandable!) backend services for one of our two core products.
  • Contributing to internal processes, tooling, testing, and all the things that make a team successful.
  • Interacting with customers to help understand their needs, bringing that insight into our product-thinking. ‍

What you bring

  • You're comfortable using Go as your main language
  • You have 5+ years of experience building robust, scalable backends
  • You have 3+ years with complex server deployments using technologies like K8s, Docker, EC2, and Terraform
  • You have experience working in a team and/or in a large codebase
  • You’re a master at the modern suite of engineering tools, like CircleCI and Github
  • Bachelor’s in CS, Engineering or related field or equivalent training / work experience ‍

Level up bonus points

  • You know some Frontend too — you have experience with functional, imperative, and reactive programming in React, Javascript, and Typescript.

About Streamlit

We build developer tools for Machine Learning and Data Science engineers. Our first product is an open source app framework that makes it ridiculously easy to build apps by just adding a couple of lines of code to existing Python scripts.

Based in the heart of San Francisco, we’re a diverse, collaborative team of elite technologists from Google, X, Twitter, Carnegie Mellon Computer Science, and Stanford Business School. We have funding from top VCs like Gradient (Google’s AI Investment Arm), and we’re growing quickly. If you’re passionate about ML/data science, we want to talk to you!

Company Culture

We love what we do, but we also value life outside of work: half of us have young children, some of us block our calendars to go running. That means we don't do nights and weekends, and no crunch time. Instead, we believe in coming up with plans that are feasible within the available time, and execute them to a T.

Interested in this role?
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