Software Engineer II

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 No

SQL. 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.