Systems Engineer, MAPS

Cloudflare • San Francisco, CA

1d

About The Position

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 Location: Austin About the Department Cloudflare’s engineering teams build and maintain the systems and products that power our global platform. A global platform which is within approximately 50 milliseconds of about 95% of the Internet connected population, serving on average, over 46 million HTTP requests per second. About the Team Cloudflare engineering delivers multiple products and features to production at a tremendous pace, and depends on real time load balancing and long term capacity planning to do so with high performance and efficiency. The MAPS team is responsible for highly granular and large-scale resource usage instrumentation and measurement of Cloudflare's edge platform. The team builds and runs data pipelines, as well as systems and libraries for measuring and collecting the data, and collaborates closely across the range of teams that build and run services on Cloudflare's global edge network to ensure consistent, complete, and correct attribution of all resource usage. What are we looking for? We are looking for highly motivated software engineers to join our MAPS team. You’ll have a strong programming background with a deep understanding and experience developing and maintaining distributed systems. You’ll need to be able to communicate effectively with engineers across the company to understand the behaviours of our systems and products in order to deliver tooling to meet their testing needs. You will also work closely with product managers to support our public facing synthetic testing and load testing products for enterprise customers.

Requirements

• Experience as a software engineer or similar role working on latency and efficiency sensitive server infrastructure.
• Experience working with large-scale data pipelines and processing, including use of distributed column-oriented data storage and processing such as ClickHouse, BigQuery/Dremel, etc.
• Strong knowledge of TCP/IP networking fundamentals and routing basics
• Successful track record of collaborating with many teams concurrently to achieve goals that require alignment across a range of teams and orgs.
• Track record of owning problems, goals, and outcomes - not (just) specific pieces of software.
• Track record of building long-term sustainable, maintainable systems.
• Ability to dive deep into technical specifics of systems and codebases, while always keeping the big picture in mind.
• Experience with one or more of the following programming languages: Go, Rust, C

Nice To Haves

• Strong understanding of Linux kernel internals, especially any of: networking, scheduling, resource isolation, virtualization
• Experience troubleshooting and resolving performance issues in large-scale distributed systems.
• Experience with large scale configuration/deployment management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed