Platform Engineer

Cube Dev; San Francisco (CA); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-friendly culture

Global team

Job summary

Cube is seeking a Platform Engineer to design, build, and maintain the core platform powering Cube cloud product at scale. Focus on reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.

You will work closely with Core and Platform engineers to ensure production readiness, multi-tenant analytics, and smooth deployments. Remote-friendly, global team based in San Francisco.

Qualifications

• Experience designing and operating cloud-native infrastructure.
• Strong knowledge of Kubernetes and container orchestration.
• Proficiency with Terraform or equivalent IaC tools.
• Solid understanding of distributed systems, networking, and Linux internals.
• Experience building/operating production systems with high availability.
• Programming proficiency in Go, Rust, TypeScript or Python.
• Familiarity with CI/CD and release automation.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Good communication and ability to work in a remote async environment.
• Security best practices for cloud platforms.
• Experience with data-intensive analytics platforms and AI coding tools.
• Contributions to open-source infrastructure projects.

Responsibilities

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

Skills

Cloud Infra

Kubernetes

Terraform

Distributed Systems

Linux Internals

Production Systems

Go

Rust

TypeScript

Python

CI/CD

Observability

Prometheus

Grafana

OpenTelemetry

Security Best Practices

AI Coding Tools

Open-Source Contributions

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 our internal teams.

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, TypeScript, Python, or similar).
• Familiarity with CI/CD systems and release automation.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.).
• Good communication skills and ability to work effectively in a remote, async environment.
  
• Background in security best practices for cloud platforms.
  
• Experience operating data-intensive or analytics-heavy platforms.
  
• Hands-on use of AI coding tools (Claude Code, Cursor, Copilot, or similar) in your day-to-day engineering workflow.
  
• 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.