AML Manager – Transaction Monitoring Operations
Capital One
Software Engineer, Bots and Fraud Detection
Cloudflare
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Cyber SecurityDNSDockerGoJavaJavaScriptKafkaKubernetesLuaPostgresPythonRustSaltStack
About the role
- Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.
- We hire curious and empathetic individuals committed to developing themselves and learning new skills, and we support diverse and inclusive teams.
- Available Locations: Austin (NAMER), Lisbon or London (EMEA)
- Bots and Fraud Detection team develops cutting-edge solutions to identify and mitigate malicious bot activities, ensuring the security and integrity of online applications.
- What you'll do: Join Cloudflare's Bot and Fraud Detection team to tackle real-world security challenges, leveraging 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, using Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, and Jupyter notebook.
- What are we looking for? bullet points as provided.
Requirements
- 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.
- Curiousity and empathy
- Comfortable with tackling ambiguous problems and unblocking yourself
