Fraud-Prevention Backend Engineer with AI-Driven Rules

Motion Recruitment; New York (NY); Hybrid; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

Motion Recruitment Partners LLC in New York is seeking a Software Engineer II to author, maintain, and optimize fraud rules within real-time decisioning engines for account protection.

You will contribute to backend fraud-prevention services, design APIs, and collaborate with Policy, Analytics, and Data Science teams. Proficiency in Java, Python, or Node.js, plus experience with AI coding tools, is valued.

Qualifikationen

• 2 years of professional software engineering experience.
• Proficiency in a server-side language: Java; Python or Node.js also valuable.
• Experience with RESTful API design and API integrations.
• Experience with relational and/or NoSQL databases.
• Familiarity with server frameworks: Spring MVC, Express or Django.
• Production service contributions: code, tests, deployment, on-call.
• Proficiency with AI coding tools and validating outputs.
• Strong Agile, OO design, and engineering best practices.
• Excellent communication and collaboration across teams.
• Interest in fraud prevention, trust & safety, or risk systems.

Aufgaben

• Author, maintain, and optimize fraud rules and policies across real-time decisioning engines.
• Contribute to backend services in the fraud-prevention stack; implement features and integrations.
• Use AI coding tools to accelerate rule authoring and service development with human review.
• Translate policy and analytics requirements into precise rule logic and thresholds.
• Test changes end-to-end and manage safe production rollouts with validation.
• Contribute to engineering quality: docs, code reviews, tests, CI/CD, observability.
• Support monitoring, on-call, and rapid issue resolution with dashboards.

Kenntnisse

Java

Python

Node.js

RESTful APIs

API Integrations

Databases

Spring MVC

Express

Django

AI coding tools

Agile

OO design

Communication

Tools

Claude Code

Cursor

Codex

Jobbeschreibung

Title: Software Engineer II

Description:
• Author, maintain, and optimize fraud rules and policies across our real-time fraud decisioning engines to protect customers from account takeover (ATO) and other fraud — this is the core of the role.

• Contribute significantly to the backend services in the fraud-prevention stack: design and implement features, API changes, and integrations; make production code changes; and help improve their reliability, performance, and quality — not just their rules.

• Use AI coding tools as a core part of your workflow (Claude Code, Cursor, Codex) to accelerate both rule authoring and service development — generating, refactoring, and validating rule sets, tests, and service code, always with human review and testing.

• Translate policy and analytics requirements into precise, testable rule logic — tuning thresholds, fraud signals, and link-analysis weights to raise fraud-catch precision while reducing friction for legitimate customers.

• Test changes end-to-end before release using pre-release testing and artifact-deployment tooling, and manage safe production rollouts — including silent/shadow-mode validation and change-request approvals.

• Contribute to engineering quality across the stack: design docs, code reviews, automated tests, CI/CD, and observability.

• Support monitoring, on-call, and rapid issue resolution in production, using observability dashboards to track service health, rule performance, latency, and match rates.

• Collaborate closely with Policy, Analytics, Data Science, and Product partners to respond to emerging fraud attacks and continuously improve detection coverage.

Skills: Required 2 years of professional software engineering experience building and contributing to backend services SWE2 level.Proficiency in a server-side language especially Java our primary stack Python or Node.js also valuable.Solid experience with RESTful API design and building/maintaining API integrations.Experience with database technologies relational and/or NoSQL.Experience with a server framework such as Spring MVC preferred Express or Django.Hands-on experience contributing to a production service mdash production-quality code and tests deployment and on-call.Proficiency with AI coding tools Claude Code Cursor Codex etc. and the judgment to use them effectively while validating their output.Solid grasp of Agile development object-oriented design and engineering best practices.Strong communication and collaboration skills across engineering policy and analytics partners.Eagerness to learn and adapt in a dynamic fast-moving environment. Preferred Familiarity with business rules engines e.g. Drools mdash authoring and debugging rule sets ideally with AI assistance.Experience turning fraud/risk policy into rule logic or working with risk decisioning case-disposition or trust amp safety systems.Experience contributing to backend services at scale design reliability performance.Exposure to formal release and change-management processes and to observability/monitoring tooling.Interest in fraud prevention trust amp safety or risk systems.