Platform Engineer
RemoteNew York, United States
Job Summary
Design and maintain cloud-native infrastructure for a globally distributed analytics platform, scaling multi-tenant systems with strict latency requirements. Build internal tooling to improve developer velocity, observability, and deployment safety while operating Kubernetes-based environments and evolving release pipelines. Implement monitoring, alerting, and incident response practices to ensure reliability, fault tolerance, and disaster recovery for the Cube cloud product. Work closely with Core and Platform engineers to optimize production environments and support internal teams and customers. This role focuses on reliability, scalability, and developer productivity across infrastructure and internal platforms.
Required 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, Python, or similar)
- Good communication skills and ability to work effectively in a remote, async environment
- Fluent English
Desired Qualifications
- 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
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