Job Description
About Cube Dev
We're building a cutting-edge analytics technology stack. If you're fascinated by the software that powers large tech companies but want the challenges and freedom of working in a small startup, this job is for you.
Position Overview
Cube enables developers 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). These APIs serve requests with sub-second latency and high concurrency.
We aim to further enhance Cube's core performance, support more data sources, evolve data modeling capabilities, and improve developer experience to make Cube the ultimate open-source analytical tool for all developers. Additionally, we plan to expand the semantic layer product with integration with BI platforms and data-consuming tools, ensuring seamless interoperability and enhanced data accessibility.
As a Principal Software Engineer, you will contribute to Cube projects and maintain its codebase on GitHub. You'll 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.
Key Responsibilities
Fine-tune Cube's performance.
Develop and maintain client core libraries for seamless integration with Cube's products.
Develop semantic layer sync integration with various business intelligence tools to facilitate data organization and accessibility.
Contribute to Cube Cloud by working on product main features, such as Cube APM, Cube Cloud PaaS infrastructure, and Cube Store service.
Requirements
Expertise in data structures and algorithms.
Solid understanding of how databases work.
Strong coding skills.
Experience in building and managing high-load analytical or data infrastructure applications.
Good communication skills.
Fluent English.
Previous startup experience or interest in working in a fast-moving company.
Experience with contributing to or maintaining an open-source project would be beneficial.
Strong experience in data engineering, building analytics applications, or OLAP.
Experience with Docker and k8s, AWS, GCP.
Understanding of V8 engine workings.
Node.js experience is a plus.
This is a fully remote opportunity based in San Francisco. You can work from anywhere and join our vibrant team.
We're building a cutting-edge analytics technology stack. If you're fascinated by the software that powers large tech companies but want the challenges and freedom of working in a small startup, this job is for you.
Position Overview
Cube enables developers 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). These APIs serve requests with sub-second latency and high concurrency.
We aim to further enhance Cube's core performance, support more data sources, evolve data modeling capabilities, and improve developer experience to make Cube the ultimate open-source analytical tool for all developers. Additionally, we plan to expand the semantic layer product with integration with BI platforms and data-consuming tools, ensuring seamless interoperability and enhanced data accessibility.
As a Principal Software Engineer, you will contribute to Cube projects and maintain its codebase on GitHub. You'll 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.
Key Responsibilities
Fine-tune Cube's performance.
Develop and maintain client core libraries for seamless integration with Cube's products.
Develop semantic layer sync integration with various business intelligence tools to facilitate data organization and accessibility.
Contribute to Cube Cloud by working on product main features, such as Cube APM, Cube Cloud PaaS infrastructure, and Cube Store service.
Requirements
Expertise in data structures and algorithms.
Solid understanding of how databases work.
Strong coding skills.
Experience in building and managing high-load analytical or data infrastructure applications.
Good communication skills.
Fluent English.
Previous startup experience or interest in working in a fast-moving company.
Experience with contributing to or maintaining an open-source project would be beneficial.
Strong experience in data engineering, building analytics applications, or OLAP.
Experience with Docker and k8s, AWS, GCP.
Understanding of V8 engine workings.
Node.js experience is a plus.
This is a fully remote opportunity based in San Francisco. You can work from anywhere and join our vibrant team.
💡 Quick Summary
Seeking a career-building opportunity? The Principal Software Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
