Software Engineer II

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. 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.

A client with Kforce is seeking a Software Engineer II to join their team in New York, NY. Duties:

• 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

Requirements:

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
• 2+ years of professional software engineering experience building and contributing to backend services (SWE2 level)
• 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 - production-quality code and tests, deployment, and on-call
• Proficiency in a server-side language, especially Java (our primary stack); Python or Node.js also valuable
• 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:

• Experience turning fraud/risk policy into rule logic, or working with risk decisioning, case-disposition, or trust & safety systems
• Experience contributing to backend services at scale (design, reliability, performance)
• Familiarity with business rules engines (e.g., Drools) - authoring and debugging rule sets, ideally with AI assistance
• Exposure to formal release and change-management processes and to observability/monitoring tooling
• Interest in fraud prevention, trust & safety, or risk systems