Cube · 17 hours ago

Principal Software Engineer (Database Engineering)

San Francisco, CA

Full-time

Remote

Lead/Staff

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Responsibilities

Build and maintain various parts of open-source Cube Core

Community support in our Slack

Development of Cube Cloud product

SQL generation and rewriting

Developing our own database optimized for serving huge aggregated tables

Provide APM analytics of Cube instances using Cube itself

Qualification

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Database algorithmsData structuresSQL parsingRustData processing algorithmsNode.jsRubyPythonJavaScalaC#High-load applicationsDockerKubernetesAWSGCPOpen-source contributionJavaScriptReactFluent EnglishStartup experience

Required

Expert in database algorithms and data structures: columnar vs row storage, SQL parsing, query planning, indexes, partitioning, join algorithms, filter pushdown optimizations, HLL.

Expert in Rust, or any other low-level language.

Good communication skills.

Fluent English.

Previous startup experience or interest in working in a small fast-moving company.

Preferred

Expert in data structures and data processing algorithms.

Expert in at least one of the high-level VM languages such as Node.js, Ruby, Python, Java, Scala, C#, or similar.

Experience in building and managing high-load analytical or data infrastructure applications.

Experience with Docker and k8s, AWS, GCP.

Experience with contributing to or the maintenance of an open-source project.

Development experience with JavaScript, React, Node.js would be a plus.

Company

Cube

Cube is the universal semantic layer that makes it easy to connect data silos, create consistent metrics, and make them accessible to all of your BI tools, customer-facing embedded analytics, as well as LLMs, AI chatbots, and agents.

Founded in 2019