What you will do
- Using DuckDB to enable seamless data interoperability between Python and SQL code written by our users or AI agents
- Building intelligent caching systems to speed up customer data queries
- Implementing a graph-based dependency framework for optimizing multi-step execution plans
- Instrumenting complex, multi-language systems to identify performance bottlenecks
- Building visualizations into the product to help users understand the performance characteristics of their code
About you
- 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
Our stack
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.
Compensation: Salary range $198,000 - $295,000