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Cube is building the semantic foundation for agentic analytics, enabling AI agents and humans to work together on shared data infrastructure. The company powers analytics for 400+ organizations including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata, with 19,000+ GitHub stars and 13,000+ community members.
As a Platform Engineer, you will design, build, and maintain the core infrastructure powering Cube's cloud product and supporting Cube Core at scale. Your focus will be on reliability, scalability, performance, and developer productivity. You'll work closely with Core and Platform engineers to ensure Cube runs efficiently in production and delivers a seamless experience for internal teams.
Key responsibilities include:
- 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 serving large volumes of analytical queries with strict latency requirements
- Improving reliability, fault tolerance, and disaster recovery for the Cube cloud platform
- Operating Kubernetes-based environments and evolving deployment and release pipelines
- Implementing monitoring, alerting, and incident response practices for high-availability systems
The role is fully remote, and the company is based in San Francisco.
REQUIREMENTS:
- 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 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
- Fluent English
BONUS:
- 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)
- Contributions to open-source infrastructure or platform projects
