6+ years of engineering experience working on complex, data-driven systems or applications
Expert-level understanding of Python, SQL, jupyter kernels, and/or data warehousing systems
Deeply informed on industry trends around data processing, databases, and performant data architectures
You love diving into highly complex codebases and have a passion for designing elegant abstractions that improve correctness and developer productivity
An inexhaustible desire to understand where every millisecond of time could be going
An instinct for strategic thinking and aligning with business and product goals while keeping a healthy balance of velocity and engineering excellence
Experience working in a remote-first team and strong communication skills in this context
This role is fully remote anywhere within the US Eastern timezone, with the option to work from our NYC office
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process