Senior Software Engineer, Internal Fraud Platform

Cloudflare · Hybridsenior

En corto

▸Construyes la plataforma interna de detección de fraude en Cloudflare, conectando sistemas clave como facturación y soporte.
▸Trabajas de cerca con científicos de datos para llevar modelos de machine learning a producción y crear herramientas para analistas.
▸Eres el primer ingeniero de software en el equipo: tienes autonomía total y gran influencia en la arquitectura.

Proficiency in English required for collaboration across global teams.

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¿Qué piden?

✓Experiencia comprobada como ingeniero de software en sistemas distribuidos.
✓Habilidades sólidas en diseño de pipelines de datos y servicios escalables.
✓Capacidad para trabajar con científicos de datos y traducir modelos a producción.
✓Experiencia con servicios en la nube (AWS, GCP o similar).
✓Conocimiento de sistemas de eventos y arquitecturas de mensajería (Kafka, etc.).
✓Iniciativa para liderar proyectos desde cero con mínimo supervisión.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

GoPythonKafkaPostgreSQLRedisAWSGCPDockerKubernetesAirflow

¿A quién escribirle en Cloudflare?

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About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role 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. Responsibilities • 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 f

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