Technical Lead, Open Source

7 апреля 2021    28
Откликнуться

At Cube Dev, we are building a technology stack for modern analytics and our mission is to make it accessible to developers around the world.

We are focused on bottom-up adoption, and most of our software is open-source. Cube.js, our flagship open-source product, has over 10,000 stars on GitHub and over 3,000 community members in Slack. It powers companies ranging from Apple, Intel, and Walmart to small Silicon Valley startups.

We are a 15-person remote-first team distributed over the US, UK, and Eastern Europe with an HQ in San Francisco, funded by top-tier Silicon Valley venture funds that have previously invested in Redis, Hazelcast, Gradle, and other infrastructure software startups.

Cube.js is used to build analytical APIs over trillion data point datasets in SQL databases (e.g., Postgres, ClickHouse) and data warehouses (e.g., Google BigQuery, AWS Athena, Snowflake). Such APIs serve requests with sub-second latency and high concurrency.

We're determined to further enhance Cube.js performance, support more data sources, evolve data modeling capabilities, and improve developer experience to make Cube.js the ultimate open-source analytical tool of choice for all developers.

That's why we're looking for a technical lead to join the Cube.js team. You will contribute to Cube.js and maintain its codebase on GitHub, participate in community support in Slack, serve as an entry point for the team, and work with our CTO to drive architectural and product decisions.

Some of the problems you'll be working on:

  • SQL generation and rewriting. Cube.js is a simple yet powerful way to organize SQL queries. The Cube.js way is to generate the best possible SQL query for a given database while abstracting all complex stuff from users and giving them the full power of SQL at the same time. To solve this problem, Cube.js parses SQL queries written by users to understand the structure and rewrites them to apply performance optimizations.
  • Cube Store. Cube.js is used to serve analytics for trillions of data points with sub-second response times. To keep up-to-date with growing big data demands and serving speeds we’re developing our own database optimized for serving huge aggregated tables with latencies of several milliseconds.
  • Cube.js APM. One of the main tech problems for Cube Cloud is to provide APM analytics of Cube.js instances using Cube.js itself. Being purely a dog food problem, large-scale real-time analytics has a lot of challenges, most of which will be solved for the first time ever using the SQL approach.

Requirements:

  • Expert in data structures and algorithms.
  • Solid understanding of how databases work.
  • Expert in JavaScript and Node.js.
  • Good communication skills.
  • Fluent English.
  • Previous startup experience or interest in working in a small fast-moving company.

Bonus points:

  • Experience with contributing to or the maintenance of an open-source project.
  • Experience in data engineering, building analytics applications, or OLAP.
  • Experience with Docker and k8s, AWS, GCP.
  • C++, Rust, or any other low-level language experience.
  • Understanding of how V8 works.

This is a remote position. Any location is okay as long as we can expect you to be online till 1 pm PT. We can pay for your desk at the co-working space that you choose to work from. Down the road, we offer an optional relocation to our HQ in San Francisco, California with visa (H1-B or O-1) sponsorship. Also, we offer stock options in our US company.

Подписывайтесь на наш телеграм-канал @remotelist, чтобы всегда быть в курсе новых вакансий! Дайджесты с новыми вакансиями появляются каждые 2-3 часа.

Еженедельная рассылка топ-15 самых просматриваемых вакансий сайта. Письмо приходит каждое воскресенье.