Development tools must be blazingly fast and ultra-dependable. 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
- 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 Machine Learning / Data Science too — you are comfortable using machine learning libraries such as Numpy, Pandas, PyTorch, Keras, Tensorflow, SciPy, and OpenCV.
We are an equal opportunity and family friendly employer and we highly value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.