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Cloud • Information Technology • Security • Software • Cybersecurity
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BashCloudflare SolutionsDnsFirewallHTTPJavaScriptPythonTcpTlsUdp
Cloud • Information Technology • Security • Software • Cybersecurity
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Cloud • Information Technology • Security • Software • Cybersecurity
As a Software Engineer Intern at Cloudflare, you'll work on impactful projects, gain mentorship, develop skills, and present your work to the company, all while collaborating across teams.
Top Skills:
C/C++GoJavaScriptPythonRustTypescript
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?
Bonus Points
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
Cloudflare London, England Office
Riverside Building, 6th Floor, County Hall/The, Belvedere Rd, London, United Kingdom, SE1 7PB
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