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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, Disaster Recovery, Distributed Systems, Fault Tolerance, Python (Programming Language), Linux Kernel, Open Source Technology, Prometheus, Cloud Platform System, System Availability, Delivery Pipeline, Grafana, Kubernetes, Data Management, Terraform, Programming Languages
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=079131e56fb177c3

## About the Role

Do you have experience in Terraform?, * 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., * 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.

We're a fully remote company based in San Francisco. You can work from anywhere and join our highly collaborative team.

## 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 both internal teams and customers., * 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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