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Full-Stack Engineer

Cube

full-remotemidpermanentfullstack San Francisco, CA Today via LinkedIn

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Tech Stack

JavaScriptTypeScriptReactNode.jsRESTGraphQLSQLAWSGCP

About the role

Role Overview

As a Full-Stack Engineer at Cube, you will work across the frontend and backend of the Cube Cloud platform and developer-facing tools. Your goal is to deliver high-quality product features that make complex analytics infrastructure intuitive, powerful, and accessible to developers and data teams.

Key Responsibilities

  • Build and evolve the Cube Cloud platform web application and developer-facing interfaces
  • Design and implement backend APIs that power configuration, management, and analytics workflows
  • Translate complex analytics concepts into clear and usable UI/UX
  • Improve performance, reliability, and scalability of end-user features
  • Work with large datasets and real-time analytics results in frontend applications
  • Collaborate with Core engineers to integrate new Cube capabilities into the product
  • Work closely with product, design, and core engineering teams

Required Qualifications

  • Strong experience with JavaScript/TypeScript and modern frontend frameworks (React)
  • Solid backend experience with Node.js or similar server-side runtimes
  • Experience designing and consuming REST or GraphQL APIs
  • Understanding of web application performance, security, and scalability
  • Ability to work across the stack and take ownership of features end-to-end
  • Good communication skills and product-oriented mindset
  • Fluent English

Nice-to-Haves

  • Experience with data-heavy or analytics-driven products
  • Familiarity with SQL and analytical databases
  • Experience with cloud platforms (AWS, GCP) and containerized environments
  • Background in UX/UI design collaboration or design systems
  • Contributions to open-source projects, especially developer tools

About Cube

Cube is a data and analytics infrastructure platform that enables organizations to deliver, consume, and automate analytics across teams, tools, and AI agents. The platform provides a universal semantic foundation for autonomous analytics while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.

Scraped 3/30/2026

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