We are building an open-source time series database focused on performance and simplicity.
QuestDB is used to store, process and analyze time series data in real-time across a wide range of industries, such as Financial Services, Energy, Manufacturing, Web3 and Space Exploration. Fortune 500 companies such as Airbus and Yahoo deploy QuestDB for large-scale, data-intensive production systems, some of which serve close to a billion users.
Our open source repository has gathered 13k+ stars in three years and is the fastest-growing in our category. We are a product-first company with a large community of developers. We are a globally distributed remote-first team backed by leading venture capital firms and Y Combinator.
As a Front End Developer at QuestDB, you will be an integral part of a small tight-knit team, focusing on designing and developing user interfaces. You will write simple, high-quality, scalable, and maintainable code for the long run. You will fully own features and design changes.
The frontend landscape is ever-changing. Therefore, we value programming experience and the "itch" to deliver value, over knowledge of some specific framework.
We expect candidates to be comfortable with: Typescript, React, NextJS, Jest, Cypress, GitHub Actions.
The role requires a strong sense of problem-solving and ownership of UI/UX components and all user-facing interfaces.
Having any of the following skills would make a candidate stand out:
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection.
fulltimelondon / Remote (US)Backend$100K - $180K0.20%6+ years
fulltimeRemote (US)Frontend$100K - $120K0.20%6+ years