Senior Software Engineer, Internal Fraud Platform

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

• 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

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, 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

Core Competencies

Demonstrates expertise in building and operating distributed systems and data pipelines, with a strong focus on fraud detection and risk management. Proficient in collaborating across teams to translate complex fraud vectors into actionable engineering requirements.

Highest-signal resume keywords

• Distributed Systems Engineering


• Data Pipeline Development


• RESTful API Design


• SQL and Relational Databases


• Fraud and Risk Engineering

Hard Skills

• Software Engineering


• Data Modeling


• Event Pipeline Design


• Troubleshooting


• Feature Engineering

Soft Skills

• Cross-Functional Communication


• Project Ownership

Industry Keywords

• Fraud Detection


• Trust & Safety


• Payments Engineering


• Billing Systems


• Financial Systems

Tools & Technologies

• Kafka


• Pub/Sub


• PostgreSQL


• MySQL


• OpenAPI