Senior Software Engineer, Distributed Databases

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. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re 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 you’re 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, you’ll fit right in.

Available Locations: Austin, TX | Seattle, WA | London, UK

About the Role

Cloudflare's Developer Platform powers stateful, data-intensive applications across our network. We're looking for a Senior Software Engineer to work across the database stack, from query planning and execution to transaction processing and durable storage.

You'll make decisions that shape the consistency, durability, and latency guarantees that customer applications rely on.

Correctness under concurrency and failure is central to the role. You'll define and implement how queries read and modify data, how concurrent transactions become visible, and how durable state is recovered. You'll validate these systems using deterministic simulation, workload testing, and evidence from production.

Responsibilities

Improve query planning and execution, including index selection, row reads and writes, and performance as data volumes and access patterns change.

Build transaction and storage paths that make writes durable and reads consistent. Define when changes become visible, how commits survive failure, and how recovery restores a correct view of the data.

Design deterministic simulations that make rare event orderings and failures reproducible.

Plan stateful upgrades that cannot be reversed by rolling back software. Carry them through staged rollout, failover, and recovery without putting existing data at risk.

Participate in the service's on-call rotation and incident response.

Own major changes from design through production. Coordinate implementation across teams when a change spans multiple parts of the service, and help trace failures across those parts.

Mentor other engineers through design reviews, debugging, and incident analysis involving concurrency, durability, and recovery.

Desirable Skills, Knowledge & Experience

You have owned a database, storage engine, transaction system, or similarly correctness-sensitive stateful system from architecture through production. You can make architecture and implementation decisions when requirements or system boundaries are incomplete.

You understand how query execution, indexing, transaction processing, and durable state shape what developers and operators observe.

You understand how concurrency control, isolation, replication, and snapshots shape consistency, durability, and recovery. You can apply those concepts when operations arrive out of order, components fail independently, or