At Cloudflare, we're on a mission to help build a better Internet. 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.
\nWe 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.
\nIf 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.
\nThe Workers Observability (WOBS) Team provides a growing suite of tools to monitor, troubleshoot and optimize applications on the Cloudflare Developer platform. These tools increasingly work across Cloudflare products to provide complete visibility into user applications.
\nAs a Software Engineer on the WOBS Team, you will own code across the development lifecycle from design to release including QA, incident management, and performance optimization. You will be responsible for designing and shipping core software features across the observability stack - including the frontend customer experience, integrations with other Cloudflare primitives, and our internal data stores and ingestion pipelines.
\nYou will work closely with cross-functional teams to identify and prioritize features, and collaborate with engineers, designers, and product managers to deliver high-quality software that meets the performance requirements of Cloudflare's systems.
\nSuccess in this role will depend on becoming an expert not just on the observability platform, but on the Cloudflare Developer Platform as a whole. You will need to have strong proficiency in at least one programming language, preferably a typed language (e.g. Go, TypeScript, Rust) as well as SQL, and experience building high-volume distributed systems using cloud primitives (AWS, GCP, CF), including queues, key-value stores, relational databases, blob storage, and serverless compute.
\nYou will also need to have experience troubleshooting distributed data systems including working with logs and data stores. A working knowledge of lower-level languages like Rust or C++ and building frontend applications in Typescript and React is a plus.
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