You will design and build distributed software solutions for bot detection, leveraging data science and machine learning to handle high traffic and improve security.
Available Locations: Austin or NYC (NAMER), 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
Top Skills
Clickhouse
Go
JavaScript
Jupyter Notebook
Kafka
Kubernetes
Lua
Postgres
Python
Rust
Similar Jobs at Cloudflare
Cloud • Information Technology • Security • Software • Cybersecurity
Lead and scale developer marketing efforts, focusing on demand generation and field marketing to enhance developer engagement and revenue. Define marketing strategies, manage teams, and collaborate with various departments for successful product positioning and growth.
Top Skills:
Cloudflare WorkersDurable ObjectsKvPagesR2Workers Ai
Cloud • Information Technology • Security • Software • Cybersecurity
The Pricing Analyst will analyze pricing performance and revenue trends, build pricing models, and collaborate with cross-functional teams to influence pricing strategy.
Top Skills:
BigQueryExcelGoogle SheetsSQLTableau
Cloud • Information Technology • Security • Software • Cybersecurity
Lead the design and implementation of scalable revenue processes in the Salesforce Revenue Cloud, optimizing Quote-to-Cash lifecycle and leading change management initiatives across the organization.
Top Skills:
BillingCelonisConfluenceCongaCpqIroncladNetSuiteOracle Cloud Fusion ErpSalesforce Revenue CloudTableauZuora
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
