Senior Storage Platform Engineer - Global Fleet & Automation

Cloudflare; New York (NY); On-site; USD 185,000 - 254,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Savings Plan

Employee Stock Participation Plan

Flexible Paid Time Off

Job summary

Cloudflare is seeking a skilled Storage Infrastructure Engineer within Emerging Technologies & Incubation (ETI) to design, build, and operate scalable storage platforms for R2, Workers KV, and Durable Objects. You will manage fleet automation, capacity planning, hardware validation, and observability, ensuring safe, auditable changes.

You will collaborate across teams to translate service requirements into infrastructure capabilities, leveraging AI tools to accelerate debugging and reduce toil,

Qualifications

• Experience designing, building, and operating infrastructure platforms or large-scale production fleets.
• Strong Linux systems knowledge and experience troubleshooting across compute, storage, and networking layers.
• Experience operating distributed systems in production, including observability, incident response, reliability improvements, and safe change management.
• Ability to write maintainable software in Go, Python, or Rust.

Responsibilities

• Design and build automation and operator tooling for provisioning, configuring, expanding, upgrading, and decommissioning storage hardware, distributed databases, and object storage clusters.

Skills

Infrastructure platforms

Linux systems

Distributed systems

Go/Python/Rust

Communication

Tools

Terraform

Prometheus

Grafana

SaltStack

Job description

Cloudflare is seeking a skilled Storage Infrastructure Engineer within Emerging Technologies & Incubation (ETI) to design, build, and operate scalable storage platforms for R2, Workers KV, and Durable Objects. You will manage fleet automation, capacity planning, hardware validation, and observability, ensuring safe, auditable changes.

You will collaborate across teams to translate service requirements into infrastructure capabilities, leveraging AI tools to accelerate debugging and reduce toil,