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From Home Cube Vision Jobs (NOW HIRING)

Cube Dev, Inc.

Platform Engineer

San Francisco, CA · On-site

$150 - $200/hr

You can work from anywhere and join our highly collaborative team. Cube does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran ...

Cube Dev, Inc.

$150 - $200/hr

You can work from anywhere and join our highly collaborative team. Cube does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran ...

Cube Dev

Product Engineer

San Francisco, CA · On-site +1

As a Product Engineer at Cube, you'll take product ideas from spark to production -- owning both ... You can work from anywhere and join our highly collaborative team.

Cube Dev, Inc.

Product Engineer

San Francisco, CA · On-site

$150 - $200/hr

As a Product Engineer at Cube, you'll take product ideas from spark to production -- owning both ... You can work from anywhere and join our highly collaborative team. #J-18808-Ljbffr

NextGenEnergyJobs

$100 - $125/hr

Sales Manager Energy Storage EP Cube - Bayern (f/m/d) At Canadian Solar, our vision is to make ... Hybrid work (working from home/at the office), flexible hours, and 28 days of vacation, as well as ...

Cube Dev, Inc.

$150 - $200/hr

As a Product Engineer at Cube, you'll take product ideas from spark to production -- owning both ... You can work from anywhere and join our highly collaborative team. #J-18808-Ljbffr

Minutemen Workforce Solutions

Work From Home

Rockford, MI · On-site

$14.25 - $19.25/hr

Must have adequate home internet speed - a link to a home speed test will be provided for self ... vision, mission and values. 10. Performing duties consistent with the Company's AAP/EEO goals and ...

Cube 3 LLC

Mid-Level Architect

Miami, FL · On-site

Health, dental, life, disability, and vision insurance * Flexible Spending * 401K Retirement Plan ... Professional Bachelor's or Master's Degree from an accredited Architecture School NOTICE : CUBE 3 ...

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From Home Cube Vision information

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$15

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$56

How much do from home cube vision jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for from home cube vision in the United States is $27.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $29.33 per hour, depending on experience, location, and employer.

What is the difference between From Home Cube Vision vs From Home Video Editor?

AspectFrom Home Cube VisionFrom Home Video Editor
CredentialsBasic video production knowledge, possibly some certificationSimilar credentials, often requiring editing software proficiency
Work EnvironmentRemote, home-based setupRemote, home-based setup
Industry UsageUsed in media, advertising, and content creationCommon in media, entertainment, and marketing
Job FocusCreating and editing video content for various projectsEditing and post-production of video footage

Both roles are remote video-related jobs with similar credentials and work environments. From Home Cube Vision may focus more on content creation, while From Home Video Editor emphasizes editing and post-production tasks. They are closely related, often overlapping in industry and skills required.

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From Home Cube Vision jobs near you
Infographic showing various From Home Cube Vision job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $56,364 per year, or $27.1 per hour.

Platform Engineer

San Francisco, CA • On-site

Cube Dev, Inc.
1 - 10 employees
Learn more about Cube Dev, Inc.external

$150 - $200/hr

Other

Re-posted 23 days ago

Key responsibilities

  • Design, build, and maintain the core platform infrastructure that supports Cube's cloud product and internal systems.

  • Develop internal tooling to enhance developer productivity, observability, and deployment safety.

  • Scale and operate multi-tenant systems to handle large volumes of analytical queries with strict latency requirements.

Job description

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation


If you're fascinated by building core data and AI infrastructure, the kind that powers analytics at the world's most advanced technology companies, but want the agility and ownership of a startup, Cube is where you'll thrive.


With 19,000+ GitHub stars and 13,000+ community members, Cube is trusted by 400+ companies, including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata. Our platform empowers AI agents with a universal semantic foundation, enabling autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.


As a Platform Engineer at Cube, you will be responsible for designing, building, and maintaining the core platform that powers Cube cloud product and supports Cube Core at scale. Your primary focus will be reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.


You will work closely with Core and Platform engineers to ensure Cube runs efficiently in production environments and provides a seamless experience for both internal teams and customers.


What you will do:

  • Designing and maintaining cloud-native infrastructure for a globally distributed analytics platform.

  • Building internal platform tooling to improve developer velocity, observability, and deployment safety.

  • Scaling multi-tenant systems that serve large volumes of analytical queries with strict latency requirements.

  • Improving reliability, fault tolerance, and disaster recovery for Cube cloud platform.

  • Operating Kubernetes-based environments and evolving our deployment and release pipelines.

  • Implementing monitoring, alerting, and incident response practices for a high-availability system.


Who you are:

  • Strong experience with cloud infrastructure (AWS, GCP, or similar).

  • Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent).

  • Solid understanding of distributed systems, networking, and Linux internals.

  • Experience building and operating production systems with high availability and performance requirements.

  • Proficiency in at least one programming language used for platform development (Go, Rust, Python, or similar).

  • Good communication skills and ability to work effectively in a remote, async environment.

  • Experience operating data-intensive or analytics-heavy platforms.

  • Familiarity with CI/CD systems and release automation.

  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.).

  • Background in security best practices for cloud platforms.

  • Contributions to open-source infrastructure or platform projects.


We're a fully remote company based in San Francisco. You can work from anywhere and join our highly collaborative team.


Cube does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. If you need reasonable accommodations during the interview process, please discuss this with the recruiter and we'll gladly work with you.

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