Software Engineer, Workers Observability

Cloudflare Cloudflare · Enterprise · London, United Kingdom · Emerging Technology and Incubation

Software Engineer for Cloudflare's Workers Observability team, focusing on building and maintaining tools for monitoring, troubleshooting, and optimizing applications on the Cloudflare Developer platform. This full-stack role involves designing and shipping core software features across the observability stack, including frontend customer experience, integrations, and internal data stores and ingestion pipelines. Responsibilities include customer escalations, bug reports, pager duty, high-quality software delivery, complex troubleshooting across distributed systems, and clear communication.

What you'd actually do

  1. Be responsive to customer escalations, bug reports, and product feedback, and participate in pager duty for our production systems.
  2. Efficiently and reliably deliver high-quality software that meets the performance requirements of Cloudflare’s systems.
  3. Address complex and subtle issues on our platform, which may require debugging across multiple systems, languages, and datastores.
  4. Maintain clear written communication across a range of platforms as part of a globally distributed team (from US West Coast to UK) and across a range of different engineering and support teams.

Skills

Required

  • Strong proficiency in at least one programming language, preferably a typed language (e.g. Go, TypeScript, Rust) as well as SQL
  • Experience building high-volume distributed systems using cloud primitives (AWS, GCP, CF), including queues, key-value stores, relational databases, blob storage, and serverless compute
  • Experience troubleshooting distributed data systems including working with logs and data stores.

Nice to have

  • Working with lower level languages like Rust or C++
  • Building frontend application in Typescript and React
  • Building applications on the Cloudflare platform
  • Working with observability platforms and tools

What the JD emphasized

  • AI-native curiosity
  • leveraging AI to ship faster