Senior Software Engineer

 

Description:

Cloudflare's Engineering Team is home to some of the industry's top engineers, dedicated to building and scaling innovative software that handles a huge proportion of the Internet. Our team responsible for Bots and Fraud Detection develops cutting-edge solutions to identify and mitigate malicious bot activities, ensuring the security and integrity of online applications. The team collaborates with product and other engineering teams to implement advanced fraud detection mechanisms and employ machine learning techniques to safeguard digital assets from evolving threats in the cybersecurity landscape.

What You'll Do

Join Cloudflare's Bot and Fraud Detection team to tackle real-world security challenges, leveraging massive threat intelligence data through data science and machine learning. Design, build, and scale high-performance distributed software for one of Cloudflare's fastest-growing security products. Work with global data exceeding 50 million HTTP requests per second, utilizing a tech stack that includes Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, and Jupyter notebook. Make a meaningful impact in detecting and mitigating abusive HTTP L7 layer traffic worldwide.

What are we looking for?
 

  • Proficiency in designing, integrating, and optimizing distributed data processing pipelines
  • Strong coding skills in Go, Java, Python, or other high-performance languages
  • Experience in constructing and managing alerting and monitoring systems for data processing pipelines
  • Exceptional abilities in systems-level debugging
  • Preferred background or interest in Web Security, HTTP protocols, and JavaScript
  • Familiarity with advanced analytics encompassing machine learning, statistical inference, and AI.
  • Curiosity and empathy
  • Comfortable with tackling ambiguous problems and unblocking yourself

Organization Cloudflare
Industry IT / Telecom / Software Jobs
Occupational Category Senior Software Engineer
Job Location London,UK
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2025-11-12 10:46 am
Expires on 2025-12-27