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Cloudflare

Senior Software Engineer, Bots + Fraud Detection (EMEA)

Reposted 12 Hours Ago
Be an Early Applicant
Hybrid
2 Locations
Senior level
Hybrid
2 Locations
Senior level
Join the Bot and Fraud Detection team to build and scale high-performance software for detecting malicious bot activities and enhancing cybersecurity.
The summary above was generated by AI
Available Locations: Lisbon or London (EMEA)
About the department
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

Bonus Points
  • Knowledge and experience with columnar database like Clickhouse.
  • Experience productionalizing ML models
  • Experience with cluster and configuration management systems such as Docker, Salt
  • Strong web security fundamentals
  • Previous experience in bot and fraud detection

Top Skills

Clickhouse
Go
JavaScript
Jupyter Notebook
Kafka
Kubernetes
Lua
Postgres
Python
Rust

Cloudflare Austin, Texas, USA Office

405 Comal St, Austin, TX, United States, 78702

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