Compute Engineering Lead at Hex Technologies leading performance optimization for a data application platform. Design compute architecture, manage a technical team, and drive measurable performance improvements across the platform.
You will be tasked with tackling one of our most critical challenges: performance. Our users love Hex's feature-rich platform that enables complex data applications, but they need everything to execute faster. You'll lead efforts to evolve our compute architecture while maintaining the flexibility and power that makes Hex special.
You'll guide a team of experts to shape our performance investments, build a more solid foundation, and drive towards an ambitious vision where performance becomes a key differentiator for Hex in the market.
This role will be hybrid (2-3 days per week in office) based out of our New York City 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 for this role is: $225,000 - $280,000
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.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.