Software Engineer

Company DescriptionRasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.Location: Riyadh, Saudi Arabia (Onsite)Employment Type: Full-timeRole Purpose The Software Engineer will design, build, and maintain scalable services and platforms that power Rasēd’s fraud‑detection, transaction‑monitoring, and risk‑decisioning products in a regulated financial environment. Key Responsabilities● Design, develop, and maintain backend services and APIs that power Rasēd’s fraud‑detection, transaction‑monitoring, and risk‑scoring workflows. ● Implement reliable, testable, and scalable code (e.g.Java, .NET) following modern software development practices and code review standards. ● Work closely with data science, product, and compliance teams to translate fraud models, AML/KYC rules, and risk policies into production‑ready services and decision engines. ● Design and maintain data architectures (data pipelines, databases, messaging systems) to support high‑volume financial transactions and fraud analytics. ● Integrate third‑party AML/KYC, sanctions screening, and fraud platforms or internal risk tools into Rasēd’s ecosystem. ● Build monitoring, logging, and alerting for fraud‑related services to ensure high availability, observability, and fast incident response. ● Participate in code reviews, technical design discussions, and architecture decisions, contributing to continuous improvement of Rasēd’s platform.● Collaborate with clients and internal stakeholders to understand requirements, deliver technical solutions, and support deployments in production environments. ● Stay current with new technologies in fraud detection, AI/ML, and software engineering, and propose improvements to Rasēd’s products and engineering practices. Qualifications & Competencies● Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field ● 2–5+ years of professional software development experience Strong programming skills in at least one modern backend language (e.g., Java, .NET), with experience building RESTful APIs or microservices. ● Experience with relational and/or NoSQL databases, data modeling, and performance optimization for high‑volume systems. ● Hands‑on experience with cloud platforms (AWS, Azure, GCP or OCI), containers (Docker), and orchestration tools (Kubernetes), plus CI/CD pipelines. ● Familiarity with building data‑driven or AI‑enabled applications (rules engines, scoring systems, anomaly detection) is highly desirable in fraud and risk contexts. ● Solid understanding of software engineering best practices: testing, version control (Git), documentation, and secure coding.