Senior Software Engineer, R2 Metadata

About the role

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

What you'll do

• R2 is growing rapidly, and the metadata layer must evolve to keep pace. The team is responsible for designing and operating the metadata systems that track every object in R2, building and shipping developer-facing features, and ensuring the reliability and performance of these systems at global scale.
• You'll be joining a team that operates at the intersection of distributed databases, large scale storage infrastructure, and edge computing; building systems that need to be correct, fast, and reliable.
• Design and implement features in a metadata system, backed by a distributed SQL DB, that serves every R2 API operation, ensuring correctness, performance, and compatibility with the S3 API surface.
• Build and operate production services on Cloudflare Workers and Kubernetes that handle high throughput metadata operations with strong consistency and durability guarantees.
• Own the schema, data model, and query patterns for a metadata layer managing billions of objects across multiple distributed database clusters.
• Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring.
• Participate in oncall rotations, drive incident resolution, and write postmortems that improve reliability.
• Use AI tools extensively to accelerate development, debugging, and operational tasks. We expect engineers to leverage AI as a core part of their workflow.
• Collaborate across teams (storage infrastructure, networking, other platform teams) to coordinate capacity planning, API contracts, and cross cutting initiatives.