About the role

Platform Engineer (Cube)

Build and operate the core platform that powers Cube’s cloud product.

What you will do

Design and maintain cloud-native infrastructure for a globally distributed analytics platform.
Build internal platform tooling to improve developer velocity, observability, and deployment safety.
Scale multi-tenant systems handling high volumes of analytical queries with strict latency requirements.
Improve reliability, fault tolerance, and disaster recovery for the cloud platform.
Operate Kubernetes-based environments and evolve deployment/release pipelines.
Implement 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 running production, high-availability and high-performance systems.
Proficiency in at least one platform programming language: Go, Rust, Python, or similar.
Ability to work effectively in a remote, async environment; fluent English.

Bonus points

Experience operating data/analytics-heavy platforms.
Familiarity with CI/CD and release automation.
Experience with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry).
Background in cloud security best practices.
Contributions to open-source platform/infrastructure projects.

Remote / location

Fully remote company; located in San Francisco, CA, with flexibility to work from anywhere.

About Cube

Cube builds infrastructure for agentic analytics, enabling AI agents and humans to work on a shared semantic foundation. The company delivers a cloud platform that provides consistent security, performance, and scalability across BI tools, spreadsheets, and embedded applications.

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