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# Full-Stack Engineer

- **Company:** Cube Dev, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Amazon Web Services, Big Data, Databases, Programming Tools, Design of User Interfaces, Node.Js, Open Source Technology, SQL Databases, TypeScript, Web Applications, Web Application Frameworks, Cloud Platform System, ReactJS, Backend, Containerization, Graphql, Front End Software Development
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a6e118ab32aa8f07

## About the Role

* 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., * Experience working 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.

## Description

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

You will collaborate closely with product, design, and core engineering teams to turn complex technical capabilities into simple, well-designed user experiences., * Building and evolving the Cube Cloud platform web application and developer-facing interfaces.

 * Designing and implementing backend APIs that power configuration, management, and analytics workflows.
 * Translating complex analytics concepts into clear and usable UI/UX.
 * Improving performance, reliability, and scalability of end-user features.
 * Working with large datasets and real-time analytics results in frontend applications.
 * Collaborating with Core engineers to integrate new Cube capabilities into the product.


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