Senior Fraud Platform Engineer — Real-time Risk & Data Pipelines

Jobtailor; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Jobtailor is seeking an experienced software engineer to design and operate fraud-focused data pipelines and services in a production environment. You will collaborate with Data Scientists, ML Engineers, and cross-functional teams to surface features for models and embed model decisions into live systems.

The role emphasizes building scalable, fault-tolerant architectures and developing internal tools for Trust & Safety, Support, and Finance to investigate and act on fraud signals.

Qualifications

• 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, such as 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.
• This position may require authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license

Responsibilities

• Design, build, and operate services and pipelines ingesting fraud-relevant events from billing, signup, support, and other internal systems.
• Partner with Data Scientists and Machine Learning Engineers to expose event data and contextual features for models and integrate model decisions 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 from problem definition through design, implementation, rollout, and operation with minimal oversight.
• Build fault-tolerant systems handling retries, failures, and high event volumes without silently dropping or duplicating fraud signals.
• Maintain operational health and address root causes of recurring issues.
• Establish architecture patterns, tooling choices, and engineering standards as an early team engineer.
• Collaborate with Trust & Safety, Data Science, Billing/Fintech, Support, and Product teams to translate fraud vectors into engineering requirements.

Skills

Distributed Systems

Data Pipelines

REST APIs

SQL & DBs

Fraud Engineering

OpenAPI/OAuth/JWT

Billing Systems

Internal Tools

Troubleshooting

Cross-functional

Project Ownership

Tools

Kafka

Pub/Sub

PostgreSQL

MySQL

OpenAPI

Job description

Jobtailor is seeking an experienced software engineer to design and operate fraud-focused data pipelines and services in a production environment. You will collaborate with Data Scientists, ML Engineers, and cross-functional teams to surface features for models and embed model decisions into live systems.

The role emphasizes building scalable, fault-tolerant architectures and developing internal tools for Trust & Safety, Support, and Finance to investigate and act on fraud signals.