Lead Software Engineer at Cube

Cube’s mission is making the world’s data accessible and accurate.

We are a powerful tool for consuming data from modern data stores, organizing it into consistent definitions, and making it available to every application. The general idea is to replace a lot of the busywork of connecting data sources and building data visualizations so that developers can build powerful analytics applications and businesses can make decisions using up-to-the-minute information.

Cube, our flagship open-source tool, has 13,500 stars on GitHub, 6,000 developers in our community Slack, and deployment in over 200,000 companies worldwide—ranging from Apple, Intel, and Walmart to fast-growing Silicon Valley startups. Our hosted offering, Cube Cloud, launched to general availability in October 2021.

We’re currently a 60-person remote-first team distributed across the US, UK, and Europe, with headquarters in San Francisco. Having raised our Series A funding in July 2021, we’re backed by top-tier Silicon Valley funds that had previously invested in Redis, Hazelcast, Gradle, and other infrastructure software startups.

Some of the problems you'll be working on:

• Cube Cloud PaaS Infrastructure. Cube Cloud provides a platform as a service infrastructure to deploy Cube applications in production capacity at scale. Being based on AWS, GCP, Azure, and other cloud providers, it's a sophisticated cloud in cloud implementation with a lot of various infrastructure challenges.
• Maintaining Cube Cloud Enterprise SLAs. Cube Cloud provides uptime guarantees to enterprise customers, and the Infrastructure team provides technical solutions to ensure Cube Cloud stability and reliability. As a leader of Cube Cloud, you will own the SLAs and come up with new measures to make sure Cube Cloud never goes down.

Requirements

• Experience building and leading software engineering teams
• Experience running large, mission-critical software in production
• Strong knowledge of distributed systems
• Understanding of major cloud environments (AWS, GCP, Azure)
• Ability to write high-performant code in Go, Rust, C, C++, or another similar language
• Excellent communication skills
• Fluent English

Bonus points

• Strong knowledge of JavaScript/TypeScript
• Experience writing code in Rust
• Experience in data engineering, building analytics applications, or OLAP
• Previous startup experience or interest in working in a small fast-moving company