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# Platform Engineer

- **Company:** Cube Dev, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Application Release Automation, Cloud Computing, Continuous Integration, Cursor, Disaster Recovery, Distributed Systems, Fault Tolerance, Python (Programming Language), Linux Kernel, Open Source Technology, Prometheus, TypeScript, Rust (Programming Language), Cloud Platform System, System Availability, Delivery Pipeline, Grafana, Kubernetes, Data Management, Terraform, Programming Languages
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e4f2ac361af4a271

## About the Role

* 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.
Fluent English.
*, * 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.

## Description

As a Platform Engineer at Cube, you will be responsible for designing, building, and maintaining the core platform that powers Cube cloud product and supports Cube Core at scale. Your primary focus will be reliability, scalability, performance, and developer productivity across our infrastructure and internal platforms.

You will work closely with Core and Platform engineers to ensure Cube runs efficiently in production environments and provides a seamless experience for our internal teams., * 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.
*


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