Platform Engineer

Role Overview

As a Platform Engineer at Cube, you will design, build, and maintain the core cloud infrastructure that powers Cube's analytics platform. Your focus will be on reliability, scalability, performance, and developer productivity across infrastructure and internal platforms.

Key Responsibilities

• 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 serving large volumes of analytical queries with strict latency requirements
• Improve reliability, fault tolerance, and disaster recovery for Cube cloud platform
• Operate Kubernetes-based environments and evolve deployment and release pipelines
• Implement monitoring, alerting, and incident response practices for high-availability systems

Requirements

• Experience: Strong experience with cloud infrastructure (AWS, GCP, or similar)
• Kubernetes & Infrastructure: Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent)
• Systems Knowledge: Solid understanding of distributed systems, networking, and Linux internals
• Production Systems: Experience building and operating production systems with high availability and performance requirements
• Programming: Proficiency in at least one programming language for platform development (Go, Rust, Python, or similar)
• Communication: Good communication skills and ability to work effectively in a remote, async environment
• Language: Fluent English

Nice-to-Have

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

Work Environment

Fully remote company based in San Francisco. Work from anywhere.