Join Cloudflare as a Senior Software Engineer to build and operate the Internal Fraud Platform, enhancing fraud detection capabilities.
Posted by employer 1 week ago
First seen on Joblaze 6 days ago
Last verified on the company career page 3 hours ago
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Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Senior Software Engineer for Cloudflare's Internal Fraud Platform will focus on developing systems to detect and manage fraudulent activities that impact the company’s revenue and support. This role requires expertise in building distributed systems and data pipelines, as well as a solid understanding of RESTful APIs and SQL databases. Ideal candidates will have significant experience in software engineering and a background in fraud detection or risk management. As a founding member of the team, this engineer will play a crucial role in shaping the platform's architecture and operational practices.
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From the original posting
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.
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.
Experience in fraud, risk, trust & safety, or payments engineering.
Familiarity with ML serving and feature engineering concepts
Experience with billing, subscriptions, or other financial/transactional systems.
Experience building internal tools or dashboards for non-engineering stakeholders (analysts, support, finance).
Compensation may be adjusted depending on work location.
This role is eligible to participate in Cloudflare's equity plan.
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Financial Benefits
Time Off
Standard company text repeated across Cloudflare's postings is omitted here.