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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 886284
- Posted 28 days ago
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