Remote Platform Engineer - Cloud-Native Data & AI Infra

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

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.