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The fastest way to build data apps

Backend Engineer

$130k – $200k • 0.1% – 1.0%
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Engineering at Streamlit

We’re an early stage startup so our engineers wear a number of hats, including: helping guide the direction of the product, interacting with customers, and helping optimize our internal processes.

We love what we do, so we tend to work hard — but we also value life outside of work: half of us have young children, some of us block our calendars to go running every day, one person has a kickass punk band, and another has dance performances every month. We like to make sure everyone has time to do the things they value the most.

Our stack

Streamlit is a multifaceted product composed of (1) a library that users run on their own computers/remote machines/containers, (2) a web app, and (3) a cloud service. We are built on Python, Protocol Buffers, JavaScript, React, ImmutableJS, AWS, GitHub, and CircleCI.

What you’ll be doing

Working with the team to design and build a new latency-sensitive web service from the ground up
Working with the team to set up, optimize, and maintain our cloud infrastructure
Collaborating with other engineers on technical designs
Using Streamlit and interacting with users, gathering insight, and bringing new ideas to the table on how to improve the product

What you bring

You excel at writing Python servers and/or libraries
You’ve dealt with large-scale server deployments using Docker, Github, Apache Arrow, and/or various AWS technologies including EC2, S3, and CloudFormation
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.
You know some Machine Learning / Data Science too — you are comfortable using machine learning libraries such as Numpy, Pandas, PyTorch, Keras, Tensorflow, SciPy, and OpenCV.


Streamlit at a glance

The fastest way to build data apps

Streamlit focuses on Machine Learning and Data. Their company has offices in San Francisco. They have a small team that's between 11-50 employees.

You can view their website at https://streamlit.io or find them on Twitter and LinkedIn.

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