Open role

Backend Engineer

US timezones

About Hex

Hex is a modern Data Workspace for teams. With Hex, Analysts and Data Scientists can explore, analyze, and visualize in collaborative notebooks, and then share their work as interactive data apps that anyone can use. This gives Data teams new superpowers, breaks down siloes, and empowers organizations to be truly data-driven.

About the Backend Engineer role

We're looking for an experienced backend software engineer to join as a member of our core team. You will have broad impact over the technology, the product, and our company's culture.

Our central product is a web-based notebook and app authoring platform built on top of Kubernetes and AWS, which we are building with an emphasis on reliability, performance, and security.

As a backend engineer at Hex, you will be responsible for:

  • Implementing a Kubernetes-backed, scalable compute platform for running user code
  • Securing and maintaining infrastucture to ensure sensitive data is handled responsibly
  • Building and scaling caching and query services to ensure fast performance for user applications
  • Maintaining a high quality bar for design, correctness, and testing
  • Collaborating with other engineers and designers to help deliver a delightful end user experience
  • Helping grow the team and build an intentional culture

About You

We're looking for engineers who have:

  • 3-5 years experience with modern backend technologies including Node.js, GraphQL, Postrges, Kubernetes, and AWS.
  • A passion for shipping high-quality product that delights users
  • Interest in the data products space, and a love of building tools that empower analysts to do more
  • Curiosity about the bigger picture of building a company, including go-to-market, customer development, people, and marketing

It's also great if you have:

  • Worked with other elements in our tech stack (e.g., React or Typescript)
  • Experience in data analysis / data science, using, building, or integrating with modern technologies (e.g. Python notebooks, modern BI tools, data pipelines)


Caitlin Colgrove, CTO (