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Cloudflare is hiring a Senior Software Engineer to be the founding engineer on the Internal Fraud Platform team. This team protects Cloudflare from fraud and abuse—fraudulent signups, promo and trial abuse, payment fraud, chargebacks, and account takeover—working closely with data scientists who develop detection signals and models.
As the first software engineer on this team, you will be the connective tissue between Cloudflare's internal systems and fraud detection capabilities. You'll instrument systems that generate fraud signals, build pipelines and services that deliver those signals for evaluation, and create tools for analysts to investigate and resolve cases. You'll partner closely with data scientists to move models from notebook to production and have meaningful influence over the architecture, tooling, and engineering practices.
Key responsibilities include:
- Design, build, and operate services and pipelines that ingest fraud-relevant events from internal systems (billing, signup, support), evaluate them, and route decisions and case data to the right destinations.
- Partner with Data Scientists and ML Engineers to expose event data and contextual features their models need, and integrate model decisions back into pipelines and tools.
- Create internal tools and workflows for Trust & Safety, Support, and Finance analysts to investigate flagged accounts and events and take action.
- Drive initiatives end-to-end from problem definition through design, implementation, rollout, and operation with minimal oversight.
- Build fault-tolerant systems that handle retries, failures, and high event volumes without silently dropping or duplicating fraud signals, and maintain operational health.
- Help establish architecture patterns, tooling choices, and engineering standards as one of the team's first engineers.
- Collaborate cross-functionally with Trust & Safety, Data Science, Billing/Fintech, Support, and Product teams to understand fraud vectors and translate them into engineering requirements.
Requirements:
- Five or more years of professional software engineering experience, or equivalent practical experience.
- Experience building and operating distributed systems or backend services in production.
- Experience designing and building data or event pipelines (e.g., Kafka, Pub/Sub, or similar).
- Strong understanding of RESTful APIs, service security, and API standards such as OpenAPI, OAuth, or JWT.
- Working knowledge of SQL, data modeling, and relational databases such as PostgreSQL or MySQL.
- Comfort owning ambiguous, 0-to-1 problems with limited existing infrastructure or precedent.
- Strong troubleshooting, cross-functional communication, and project ownership skills.
Bonus experience:
- Fraud, risk, trust & safety, or payments engineering.
- ML serving and feature engineering concepts.
- Billing, subscriptions, or other financial/transactional systems.
- Building internal tools or dashboards for non-engineering stakeholders (analysts, support, finance).
