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We are focused on developer success, bottom-up adoption, and open source. Cube.js, our flagship open-source product, has 11,000 stars on GitHub and 4,000 developers in the community Slack. Cube.js is used by companies ranging from Apple, Intel, and Walmart to fast-growing Silicon Valley startups.
Currently, we are a 20-person remote-first team distributed over the US, UK, and Europe with an HQ in San Francisco. Having raised our Series A in July 2021, we're funded by top-tier Silicon Valley venture funds that have 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.
Dev infrastructure. As the team at Cube Dev grows, developer productivity becomes one of the most critical factors of success. As an infrastructure engineer, you’ll be responsible for improving our CI/CD pipeline, maintaining different staging environments, and ensuring nothing stay in the way of a high-quality product being delivered to Cube Dev customers.
Cube Cloud hybrid and self-hosted deployments. While PaaS is the main delivery option for Cube Cloud, larger enterprise clients can choose to run our product partially or fully inside their cloud environments. Supporting all three options simultaneously brings a lot of unique infrastructure challenges, and you’ll be working on solving them as part of the Cube Cloud team.
Understanding of major cloud environments (AWS, GCP, Azure)
Experience using IaC tools such as Terraform, Pulumi, or Ansible
Strong knowledge of Kubernetes
Good communication skills
Previous startup experience or interest in working in a small fast-moving company
Experience with Pulumi
Experience writing code in Rust
Experience in data engineering, building analytics applications, or OLAP
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