Systems Engineer, Metrics and Alerting

Cloudflare
HybridPosted 7 April 2026

Job Description

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: London or Lisbon About the Department Production Engineering is responsible for the world’s most reliable, observable, performant, and safe network ecosystem. Our customers rely on our products and systems to safely modify, troubleshoot, and release products without external impact. Our external customers rely on us to provide seamless and predictable incident, traffic, policy management, resulting in the fastest and safest network services in the world. We are accountable for the overall performance of internal and external facing services, guiding our product teams to optimal configurations and maximum efficiency. From the moment that a packet enters the Cloudflare ecosystem, we know exactly what its expected purpose and behaviour is and we are capable of determining and exposing anomalous behaviour. The Cloudflare network makes it possible to solve challenges at massive scale and efficiency which would be impossible for almost any other organization. About the Team This role is for the internal Observability Team, responsible for the observability platform and stack to make our engineering teams productive. This includes (but is not limited to) areas like metrics, alerting, error tracking, logging, tracing, and more. In this role, you can expect to: Design, deliver, and operate software and a platform that progresses Cloudflare's Observability competency Solve scaling bottlenecks in critical services in our Metrics Alerting pipeline Work on highly distributed and scalable systems Participate in the constant cycle of knowledge sharing and mentoring Participate in the global on-call rotation for the services your team owns Research and introduce cutting-edge technologies Contribute to open-source We are a small team, well-funded, growing and focused on building an extraordinary company. This is a software engineering/systems engineering role and is a superb opportunity to be part of a high performing team to help to support Cloudflare’s mission and help build a better internet. You may be a good fit for our team if you have: A Software Engineering background and proficiency in high-level programming languages (e.g., Go) Proficiency in Data structures and databases like TSDBs, Columnar stores or related Proficiency in distributed Linux environments Proficiency in designing high-scale distributed systems Proficiency in Prometheus, Alertmanager, Thanos Experience workin ... (truncated, view full listing at source)
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