Distributed Systems Engineer - Data Platform - Analytics and Alerts

<div class="content-intro"><div><strong>About Us</strong></div> <div> <p>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. </p> <p><span style="font-weight: 400;">We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! </span></p> </div></div><p><strong>Locations Available: London (UK), Lisbon (Portugal)</strong></p> <p><strong>About Role</strong></p> <p><span style="font-weight: 400;">We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties.</span></p> <p><span style="font-weight: 400;">Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second. As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack.</span></p> <p><span style="font-weight: 400;">Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform:</span></p> <ul> <li style="font-weight: 400;"><strong>Data Delivery / Data Pipeline: </strong><span style="font-weight: 400;">This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare’s vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems.</span></li> </ul> <p> </p> <ul> <li style="font-weight: 400;"><strong>Analytical Database Platform: </strong><span style="font-weight: 400;">Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-performance, scalable database platform meticulously optimised for the immense analytical workloads generated by all of Cloudflare’s products and services. This includes ensuring data integrity, query optimisation, and continuous platform scalability to meet ever-growing demands.</span></li> </ul> <p> </p> <ul> <li style="font-weight: 400;"><strong>Data Retrieval (Customer-Facing Products): </strong><span style="font-weight: 400;">This department is focused on building and continuously improving our customer-facing products, making data no ... (truncated, view full listing at source)