Remote Platform Engineer — Cloud & Kubernetes

Cube; San Francisco (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

Cube is seeking a Platform Engineer to design, build, and maintain the core platform powering Cube's cloud product, focusing on reliability, scalability, performance, and developer productivity.

You will collaborate with Core and Platform engineers to ensure efficient production operation and a seamless internal experience. This fully remote role is anchored in San Francisco with global reach and open collaboration.

Qualifications

• 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.

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

Cloud infrastructure

Kubernetes

Distributed systems

Networking

Linux internals

High availability

CI/CD

Observability tools

AI coding tools

Open-source contributions

Tools

AWS

GCP

Terraform

Prometheus

Grafana

OpenTelemetry

GitHub Actions

Job description

Cube is seeking a Platform Engineer to design, build, and maintain the core platform powering Cube's cloud product, focusing on reliability, scalability, performance, and developer productivity.

You will collaborate with Core and Platform engineers to ensure efficient production operation and a seamless internal experience. This fully remote role is anchored in San Francisco with global reach and open collaboration.