Remote Platform Engineer: Cloud Infra & Global Scale

Cube; San Francisco (CA); Remote; USD 150,000 - 210,000; Full time

Job summary

Cube is seeking a Platform Engineer to design, build, and maintain the core platform powering Cube’s cloud product at scale. Your focus will be reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.

You will work with Core and Platform teams to ensure production efficiency and a seamless experience for internal teams and customers, while operating in a remote, async environment.

Qualifications

• Experience designing cloud-native infrastructure for distributed analytics platforms.
• Hands-on knowledge of Kubernetes, CI/CD, and IaC tooling.
• Strong understanding of distributed systems, networking, and Linux internals.
• Proficiency in at least one platform language (Go or Python).

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

Skills

Kubernetes

Cloud infrastructure

Go

Python

Terraform

Distributed systems

Linux internals

Tools

Terraform

Job description

Cube is seeking a Platform Engineer to design, build, and maintain the core platform powering Cube’s cloud product at scale. Your focus will be reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.

You will work with Core and Platform teams to ensure production efficiency and a seamless experience for internal teams and customers, while operating in a remote, async environment.