> Markdown version of [/jobs/ext/3784137-senior-infrastructure-engineer-storage-platform](https://www.wearedevelopers.com/jobs/ext/3784137-senior-infrastructure-engineer-storage-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Infrastructure Engineer, Storage Platform - **Company:** CloudFlare - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $79,040.0 - $93,600.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Configuration Management, System Configuration, Software Debugging, Linux, File Systems, Distributed Data Store, Distributed Systems, Monitoring of Systems, Python (Programming Language), Software Maintenance, Prometheus, Saltstack, Grafana, Build Management, Storage Technologies, Bare Metal, Cloudflare, Hardware Asset Management, Terraform, Programming Languages - **Published:** October 16, 2026 - **Apply:** https://www.jofdav.com/jobs/60126155-senior-infrastructure-engineer-storage-platform ## About the Role * Experience designing, building, and operating infrastructure platforms or large-scale production fleets, including automation of lifecycle operations. * 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 at least one programming language, such as Go, Rust, or Python. * Strong written and verbal communication skills, with experience collaborating across engineering teams and technical stakeholders., * Experience operating distributed databases or object storage systems, with knowledge of storage fundamentals such as filesystems, SSD behavior, replication, and rebuild dynamics. * Experience with bare-metal provisioning, hardware lifecycle management, or storage hardware validation. * Experience with infrastructure-as-code, configuration-management, or observability systems such as Terraform, SaltStack, Prometheus, or Grafana. * Experience with capacity modeling, workload placement, failure-domain planning, or cross-datacenter networking. ## Description At Cloudflare, were not looking for people who wait for a polished roadmap; were looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If youre the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, youll fit right in., Emerging Technologies & Incubation (ETI) builds and launches new products on Cloudflares global network. Within ETI, youll join the Storage Infrastructure team to build and operate a shared storage platform for the teams behind stateful products such as R2, Workers KV, and Durable Objects., * Design and build automation and operator tooling for provisioning, configuring, expanding, upgrading, and decommissioning storage hardware, distributed databases, and object storage clusters. * Engineer globally distributed storage fleets to tolerate hardware failures, network disruption, capacity pressure, and recovery events across multiple failure domains. * Develop observability, alerting, and safety controls that help engineers understand fleet health and make auditable production changes. * Diagnose incidents across Linux, storage, networking, and distributed systems; participate in on-call and implement durable fixes that reduce operational toil. * Use AI tools throughout development and operations to accelerate debugging, incident triage, root-cause analysis, and toil reduction, while applying sound engineering judgment and verifying outputs before taking production action. * Validate new storage hardware and characterize its performance during normal operation, failures, rebuilds, and other recovery conditions. * Partner with R2, Workers KV, Durable Objects, Network, Capacity Planning, Performance Engineering, and Infrastructure Operations to turn service requirements into infrastructure capabilities.