Senior Software Engineer, Internal Fraud Platform
- Location
- Hybrid
- Salary range
- Not stated
- Workplace
- Hybrid
- Level
- Senior / Staff IC
- Job family
- Engineering
- Posted
- 4 weeks ago
The T&S Network estimates this role to be P3, Senior. The typical base salary for that level in Safety Engineering & Data Science is $150k to $210k at an employer this size. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: the title reads as P3.
The role, in T&S terms
Written by the T&S Network from Cloudflare's posting.
Builds the internal platform that ingests fraud-relevant events from Cloudflare's own billing, signup and support systems, evaluates them, and routes decisions and case data to analysts. The team targets fraudulent signups, promo and trial abuse, payment fraud, chargebacks and account takeover that cost the company revenue. It is a new team building its first software engineering foundation alongside data scientists who develop the detection models.
What you'd do
- Design and operate services and pipelines that ingest fraud events from billing, signup and support systems.
- Expose event data and contextual features that data scientists need for scoring models.
- Feed model outputs back into the pipelines and tools analysts rely on to act on flags.
- Build investigation tools and workflows for Trust & Safety, Support and Finance analysts to act on flagged accounts.
- Build fault-tolerant pipelines that avoid silently dropping or duplicating fraud signals at high volume.
- Take projects from problem definition through rollout and operation with minimal oversight.
- Translate fraud vectors raised by Trust & Safety, Billing, Support and Product into engineering requirements.
What it asks for
- At least five years of professional software engineering work, or equivalent hands-on experience.
- Hands-on history running distributed systems or backend services that serve live traffic.
- Experience designing data or event pipelines such as Kafka or Pub/Sub.
- Solid grasp of REST API design, service security, and standards like OpenAPI, OAuth or JWT.
- Experience in fraud, risk, trust & safety or payments engineering (preferred).
- Familiarity with how ML models are served and how features are engineered (preferred).
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Cloudflare before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Cloudflare


The employer
About Cloudflare
Infrastructure and developer tools · San Francisco, CA · 1,001 to 5,000 people · Founded 2009
Internet infrastructure company carrying a large share of web traffic, with security and bot products.
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