Senior Software Engineer, Internal Fraud Platform

Cloudflare's Internal Fraud Platform team is focused on protecting Cloudflare from fraud and abuse: fraudulent signups, promo and trial abuse, payment fraud, chargebacks, and account takeover that cost the company revenue and support overhead. Today the team is built around data science, developing the signals and models that detect this activity. We're hiring our first software engineer to build the platform around that work: ingesting events from the internal systems where fraud shows up (billing, signup, support), evaluating and routing them, and getting decisions and case data in front of the people who act on them.

As the founding engineer on this team, you'll be the connective tissue between Cloudflare's internal systems and our fraud detection capabilities. You'll instrument the systems that generate fraud signals, build the pipelines and services that deliver those signals for evaluation, and create the tools our analysts use to investigate and resolve cases. You'll partner closely with data scientists to take models and heuristics from notebook to production, and have meaningful influence over the architecture, tooling, and engineering practices it's built on.

• Build the Platform: Design, build, and operate the services and pipelines that ingest fraud-relevant events from internal systems (billing, signup, support, and others), evaluate them, and route decisions and case data to the right destinations.
• Deliver Signals for Scoring: Partner with the team's Data Scientists and Machine Learning Engineer to expose the event data and contextual features their models need, and integrate model decisions back into the pipelines and tools that act on them.
• Build Investigation Tooling: Create the internal tools and workflows that let Trust & Safety, Support, and Finance analysts investigate flagged accounts and events and take action.
• Own Projects End to End: Drive initiatives from problem definition through design, implementation, rollout, and operation with minimal oversight. In many ways this is a 0-to-1 team, and you'll be expected to fill in the gaps.
• Ensure Accuracy and Reliability: Build fault-tolerant systems that handle retries, failures, and high event volumes without silently dropping or duplicating fraud signals, and maintain the operational health of what you ship, including addressing the root cause of recurring issues.
• Shape Technical Direction: As one of the team's first engineers, help establish the architecture patterns, tooling choices, and engineering standards that will scale as the team grows.
• Collaborate Cross-Functionally: Work with Trust & Safety, Data Science, Billing/Fintech, Support, and Product teams to understand fraud vectors and turn them into engineering requirements.