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Software Engineer, Risk (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer, Risk in the United States.. As a Software Engineer on the Risk team, you will help design, build, and maintain systems that protect users and the business from fraud, identity threats, and transactional risks. Your work will directly contribute to secure, scalable, and resilient backend services that monitor activity, detect anomalies, and prevent financial loss. You will collaborate closely with product managers, engineers, and third-party partners to deploy reliable and compliant systems. This role emphasizes hands-on backend development, architectural decision-making, and operational excellence, offering the opportunity to make a meaningful impact in a fast-paced, mission-driven environment focused on financial inclusion.. . Accountabilities. In this role, you will:. . Design, build, and maintain backend services that support fraud detection, identity verification, and transaction monitoring.. . Develop APIs and distributed systems for real-time risk and fraud prevention.. . Collaborate with product managers and engineers to implement secure, scalable solutions.. . Integrate third-party risk and compliance platforms while ensuring secure data flows.. . Contribute to architectural decisions balancing scale, security, and reliability.. . Create clear documentation to support team collaboration and operational excellence.. . . Candidates should have:. . 3+ years of professional experience in backend engineering, ideally within fintech, payments, or customer-facing systems.. . Proficiency in building and maintaining APIs, microservices, and distributed systems.. . Familiarity with cloud infrastructure (AWS, Kubernetes, or similar) and database technologies.. . Experience with risk, fraud, or compliance systems is a plus.. . Strong problem-solving skills, proactive mindset, and ability to work independently.. . Excellent collaboration and communication skills.. . Technologies commonly used:. Node.js, TypeScript, functional programming libraries (fp-ts), Kubernetes, AWS. . Company Location: United States.