Principal Software Engineer, Cube

Cube Core

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Node.js

Postgres

Athena

Rust

Snowflake

BigQuery

Cube

Senior and Expert level

Remote in US

Analytical API platform

Be an early applicant

Analytical API platform

21-100 employees

B2BAnalyticsBusiness IntelligenceSaaSAPI

Be an early applicant

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Node.js

Postgres

Athena

Rust

Snowflake

BigQuery

Cube

Senior and Expert level

Remote in US

21-100 employees

B2BAnalyticsBusiness IntelligenceSaaSAPI

Company mission

To power the next generation of data experiences by bringing clarity, consistency, and context to business data and making it easy to securely deliver that data to every data consumer in the enterprise.

Job

Company

Role

Who you are

Expert in data structures and algorithms
Solid understanding of how databases work
Strong coding skills
Expert in Rust, or any other low-level language
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 the maintenance of an open-source project would be a plus
Strong experience in data engineering, building analytics applications, or OLAP
Experience with Docker and k8s, AWS, GCP
Understanding of how V8 works
Node.js experience would be a plus

What the job involves

As a Principal Software Engineer you will contribute to Cube Projects and maintain its codebase on GitHub, 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
You’ll be working on fine-tuning Cube’s performance
Developing and maintaining client core libraries to ensure seamless integration with Cube's products as well as developing semantic layer sync integration with various business intelligence tools to facilitate data organization and accessibility
You will also contribute to Cube Cloud by working on product’s main features, such as Cube APM, Cube Cloud PaaS infrastructure, Cube Store service

Our take

With data scattered across various systems, many businesses struggle to meaningfully analyse it. The inconsistency in formats and locations makes data integration complex and time-consuming, so Cube tackles this challenge with its semantic layer platform.

Cube's platform unifies data from different sources into a consistent format. This simplifies data ingestion and analysis for developers. Plus, it provides a central API that eliminates the need to manage multiple data systems and APIs individually.

Recently securing substantial funding, Cube is now ready to expand its market reach and platform development. It will work to improve its capabilities to handle complex calculations and reduce the need for custom coding. This will lead to greater efficiency and cost savings for its users, positioning the company in a prime position for growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Jun 2024

$25m

EARLY VC

Jul 2021

$15.5m

SERIES A

Total funding: $46.7m

Company benefits

Work from anywhere (we'll cover the cost of a coworking space if you'd rather prefer not working from home)
Generous stock options
Unlimited Personal Time Off
Off-sites several times a year for a week of meetings, events, and fun
Personal development support such as training courses, free books on our Kindle account, and other options

Company HQ

SoMa, San Francisco, CA

Articles

Cube reels in $25M for its semantic layer platform for data

Cube Announces New Intelligent Capabilities to Accelerate Development of AI and Embedded Analytics Solutions

Leadership

Artyom Keydunov

(CEO)

Previously co-founded Statsbot where they served as the CEO for 4 years. Prior to that, they were a Senior Ruby Developer at Happy Numbers.

Pavel Tiunov

(CTO)

Previously co-founded Statsbot and served as the CTO for 4 years. They also co-founded AllcountJS. They are also experienced as a Software Engineer, having worked at Toptal, Quarta VK and NetCracker

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